Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 2933; Tue, 28 Sep 93 13:00:39 EDT Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Tue, 28 Sep 93 13:00:35 EDT Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA29332; Tue, 28 Sep 93 12:39:12 -0400 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA04542; Tue, 28 Sep 93 11:39:09 EDT Posted-Date: Tue, 28 Sep 93 11:38:21 -0400 From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #4 (jobs, softwrare, queries, etc.) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Tue, 28 Sep 93 11:38:21 -0400 Message-Id: <4523.749230701@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Tuesday, 28 Sep 1993 Volume 12 : Issue 4 Today's Topics: Adaptive Simulated Annealing (ASA) version 1.43 Journal of Computational Neuroscience Proceedings of the 1993 NNSP Workshop Chaos and NN's Free simulation software CMU Learning Benchmark Database Updated postdoctoral fellowship opportunity for women and minorities Job vacancy in evolutionary algorithms 'Fractal Extrapolation', is there such a thing? Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: Adaptive Simulated Annealing (ASA) version 1.43 From: Lester Ingber Date: Fri, 17 Sep 93 09:22:05 -0800 ======================================================================== Adaptive Simulated Annealing (ASA) version 1.43 To get on or off the ASA email list, just send an email to asa-request@alumni.caltech.edu with your request. ________________________________________________________________________ Significant CHANGES since 1.34 Remarks were added in the NOTES for HP support, and for Turbo C, Turbo C++, and MS Quick C on PCs. Another option was added, the ASA_PRINT_MORE Printing Option, to give more intermediate printout, i.e., the values of the best parameters and cost function at each new acceptance state. ________________________________________________________________________ Wall Street Journal I have been told that the WSJ will mention the world-wide use of the ASA code, in an article to appear soon. I gave examples of some projects using ASA, but I had to insist that the relevant people would have to be contacted previous to citing them; see the related comment in General Information below. Of course the press has the last word on what they will publish/interpret. ________________________________________________________________________ FORTRAN? I regularly receive requests to be able to run ASA with FORTRAN. I cannot maintain both a C and a FORTRAN code, but there does seem to be a genuine need to interface ASA with FORTRAN. In the NOTES are a couple of suggestions: (1) Use f2c on FORTRAN programs; I have done this and it works very well. (2) Try CFORTRAN to interface the C and FORTRAN codes: (a) call FORTRAN from ASA, e.g., from cost_function(), call a FORTRAN function that performs the actual calculation of the cost function; (b) call ASA from FORTRAN, e.g., using the ADAPTING section in the NOTES as a guide, call asa_main() from a FORTRAN function. Can someone prepare templates for (a) and/or (b)? This probably isn't easy to prepare for public release; about half a dozen people started, but didn't complete such a project. ________________________________________________________________________ sa_pvt93.ps.Z The new reference for this preprint in ftp.caltech.edu:pub/ingber is %A L. Ingber %T Simulated annealing: Practice versus theory %J Mathl. Comput. Modelling %V %N %D 1993 %P (to be published) As announced previously, this is a much expanded version of the original draft, e.g., including new ideas and calculations regarding "quenching." In the acknowledgements, I give a sincere thanks to the many users who read parts of previous drafts and who sent me their own (p)reprints on simulated annealing. I'd be interested in hearing about any systems that find the QUENCHing options as useful (lucky?) as the ASA test problem did in this paper. ________________________________________________________________________ General Information The latest Adaptive Simulated Annealing (ASA) code and some related (p)reprints in compressed PostScript format can be retrieved via anonymous ftp from ftp.caltech.edu [131.215.48.151] in the pub/ingber directory. Interactively: ftp ftp.caltech.edu, [Name:] anonymous, [Password:] your_email_address, cd pub/ingber, binary, ls or dir, get file_of_interest, quit. The latest version of ASA is asa-x.y.Z (x and y are version numbers), linked to asa.Z. For the convenience of users who do not have any uncompress utility, there is a file asa which is an uncompressed copy of asa-x.y.Z/asa.Z; if you do not have sh or unshar, you still can delete the first-column X's and separate the files at the END_OF_FILE locations. There are patches asa-diff-x1.y1-x2.y2.Z up to the present version; these may be concatenated as required before applying. The INDEX file contains an index of the other files. If you do not have ftp access, get information on the FTPmail service by: mail ftpmail@decwrl.dec.com, and send only the word "help" in the body of the message. If any of the above are not possible, and if your mailer can handle large files (please test this first), the code or papers you require can be sent as uuencoded compressed files via electronic mail. If you have gzip, resulting in smaller files, please state this. Sorry, I cannot assume the task of mailing out hardcopies of code or papers. People willing to be contacted by others who might be interested in their ASA projects could keep me informed on (1) the title and/or short description of their project, and (2) whether I have permission to release their names as well as the description of their projects. Lester ======================================================================== || Prof. Lester Ingber || || Lester Ingber Research || || P.O. Box 857 EMail: ingber@alumni.caltech.edu || || McLean, VA 22101 Archive: ftp.caltech.edu:/pub/ingber || ------------------------------ Subject: Journal of Computational Neuroscience From: Jim Bower Date: Fri, 17 Sep 93 09:55:00 -0800 ******************************************************************* JOURNAL OF COMPUTATIONAL NEUROSCIENCE ******************************************************************* From neurons to behavior: A Journal at the interface between experimental and theoretical neuroscience. MANAGING EDITORS: James M. Bower Eve Marder California Institute of Brandeis University Technology John Miller John Rinzel University of California, National Institutes of Health Berkeley Idan Segev Charles Wilson Hebrew University University of Tennessee, Memphis ACTION EDITORS: L. F. Abbott, Brandeis University Richard Andersen, Massachusetts Inst. of Technology Alexander Borst, Max-Planck Inst., Tubingen Robert E. Burke, NINDS, NIH Catherine Carr, Univ. of Maryland, College Park Rodney Douglas, Oxford University G. Bard Ermentrout, University of Pittsburgh Apostoles Georgopoulos, VA Medical Center, MN Charles Gray, University of California, Davis Christof Koch, California Institute of Technology Gilles Laurent, California Institute of Technology David McCormick, Yale University Ken Miller, University of California, San Francisco Steve Redman, Australian National University Barry Richmond, NIMH, NIH Terry Sejnowski, Salk Institute Shihab Shamma, Univ. of Maryland, College Park Karen Sigvardt, University of California, Davis David Tank, Bell Labs Roger Traub, IBM TJ Watson Research Center Thelma Williams, University of London JOURNAL DESCRIPTION: The JOURNAL OF COMPUTATIONAL NEUROSCIENCE is intended to provide a forum for papers that fit the interface between computational and experimental work in the neurosciences. The JOURNAL OF COMPUTATIONAL NEUROSCIENCE will publish full length original papers describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers that report novel technologies of interest to researchers in computational neuroscience are also welcomed. It is anticipated that all levels of analysis from cognitive to single neuron will be represented in THE JOURNAL OF COMPUTATIONAL NEUROSCIENCE. ***************************************************************** CALL FOR PAPERS ***************************************************************** For Instructions to Authors, please contact: Karen Cullen Journal of Computational Neuroscience Kluwer Academic Publishers 101 Philip Drive Norwell, MA 02061 PH: 617 871 6300 FX: 617 878 0449 EM: Karen@world.std.com ***************************************************************** ***************************************************************** ORDERING INFORMATION: For complete ordering information and subscription rates, please contact: KLUWER ACADEMIC PUBLISHERS PH: 617 871 6600 FX: 617 871 6528 EM: Kluwer@world.std.com JOURNAL OF COMPUTATIONAL NEUROSCIENCE ISSN: 0929-5313 ***************************************************************** ------------------------------ Subject: Proceedings of the 1993 NNSP Workshop From: Raymond L Watrous Date: Mon, 20 Sep 93 15:06:34 -0500 The 1993 IEEE Workshop on Neural Networks for Signal Processing was held September 6 - September 9, 1993 at the Maritime Institute of Technology and Graduate Studies Linthicum Heights, Maryland, USA. Copies of the 593-page, hardbound Proceedings of the workshop may be obtained for $50 (US, check or money order, please) postpaid from: Raymond Watrous, Financial Chair 1993 IEEE Workshop on Neural Networks for Signal Processing c/o Siemens Corporate Research 755 College Road East Princeton, NJ 08540 (609) 734-6596 (609) 734-6565 (FAX) ------------------------------ Subject: Chaos and NN's From: epperson@evolve.win.net (Mark Epperson) Date: Tue, 21 Sep 93 04:18:10 I am looking for references/papers on using NN's and chaos theory for filtering noisy signals. Thanks in advance, Mark Epperson ------------------------------ Subject: Free simulation software From: Bard Ermentrout Date: Thu, 23 Sep 93 10:41:48 -0500 F R E E S I M U L A T I O N S O F T W A R E I thought perhaps that modellers etc might be interested to know of the availability of software for the analysis and simulation of dynamical and probabilistic phenomena. xpp is available free via anonymous ftp. It solves integro-differential equations, delay equations, iterative equations, all combined with probabilistic models. Postscript output is supported. A variety of numerical methods are employed so that the user can generally be sure that the solutions are accurate. Examples are connectionist type neural nets, biophysical models, models with memory, and models of cells with random inputs or with random transitions. A graphical interface using X windows as well as numerous plotting options are provided. The requirements are a C compiler and an OS capable of running X11. The software has been successfully compiled on DEC,HP,SUN,IBM,NEXT workstations as well as on a PC running Linux. Once it is compiled, no more compilation is necessary as the program can read algebraic expressions and interpret them in order to solve them. The program has been used in various guises for the last 5 years by a variety of mathematicians, physicists, and biologists. To get it follow the instructions below: - ------------Installing XPP1.6-------------------------------- XPP is pretty simple to install although you might have to add a line here and there to the Makefile. You can get it from mthsn4.math.pitt.edu (130.49.12.1) here is how: ftp 130.49.12.1 cd /pub bin get xpp1.6.tar.Z quit uncompress xpp1.6.tar.Z tar xf xpp1.6.tar make -k If you get errors in the compilation it is likely to be one of the following: 1) gcc not found in which case you should edit the Makefile so that it says CC= cc 2) Cant find X include files. Then edit the line that says CFLAGS= .... by adding -I where is where the include files are for X, e,g, -I/usr/X11/include 3) Cant find X libraries. Then add a line LDFLAGS= -L right after the CFLAGS= line where is where to find the X11 libraries then change this line: $(CC) -o xpp $(OBJECTS) $(LIBS) to this line $(CC) -o xpp $(OBJECTS) $(LDFLAGS) $(LIBS) That should do it!! If it still doesnt compile, then you should ask your sysadmin about the proper paths. Finally, some compilers have trouble with the GEAR algorithm if they are optimized so you should remove the optimization flags i.e. replace CFLAGS= -O2 -I with CFLAGS= -I delete all the .o files and recompile Good luck! Bard Ermentrout Send comments and bug reports to bard@mthbard.math.pitt.edu ------------------------------ Subject: CMU Learning Benchmark Database Updated From: Matthew.White@cs.cmu.edu Date: Fri, 24 Sep 93 03:15:48 -0500 The CMU Learning Benchmark Archive has been updated. As you may know, in the past, all the data sets in this collection have been in varying formats, requiring that code be written to parse each one. This was a waste of everybody's time. These old data sets have been replaced with data sets in a standardized format. Now, all benchmarks consist of a file detailing the benchmark and another file that is either a data set (.data) or a program to generate the appropriate data set (.c). Data sets currently avaialable are: nettalk Pronunciation of English words. parity N-input parity. protein Prediction of secondary structure of proteins. sonar Classification of sonar signals. two-spirals Distinction of a twin spiral pattern. vowel Speaker independant recognition of vowels. xor Traditional xor. To accompany this new data file format is a file describing the format and a C library to parse the data file format. In addition, the simulator (C version) for Cascade-Correlation has been rewritten to use the new file format. Both the parsing code and the cascade correlation code are distributed as compressed shell archives and should compile with any ANSI/ISO compatible C compiler. Code currently available: nevprop1.16.shar A user friendly version of quickprop. cascor1a.shar The re-engineered version of the Cascade Correlation algorithm. parse1.shar C code for the parsing algorithm to the new data set format. Data sets and code are available via anonymous FTP. Instructions follow. If you have difficulties with either the data sets or the programs, please send mail to: neural-bench@cs.cmu.edu. Any comments or suggestions should also be sent to that address. Let me urge you not to hold back questions as it is our single best way to spot places for improvement in our methods of doing things. If you would like to submit a data set to the CMU Learning Benchmark Archive, send email to neural-bench@cs.cmu.edu. All data sets should be in the CMU data file format. If you have difficulty converting your data file, contact us for assistance. Matt White Maintainer, CMU Learning Benchmark Archive - -------------------------------------------------------------------- Directions for FTPing datasets: For people whose systems support AFS, you can access the files directly from directory "/afs/cs.cmu.edu/project/connect/bench". For people accessing these files via FTP: 1. Create an FTP connection from wherever you are to machine "ftp.cs.cmu.edu". The internet address of this machine is 128.2.206.173, for those who need it. 2. Log in as user "anonymous" with your own internet address as password. You may see an error message that says "filenames may not have /.. in them" or something like that. Just ignore it. 3. Change remote directory to "/afs/cs/project/connect/bench". NOTE: you must do this in a single atomic operation. Some of the super directories on this path are not accessible to outside users. 4. At this point the "dir" command in FTP should give you a listing of files in this directory. Use get or mget to fetch the ones you want. If you want to access a compressed file (with suffix .Z) be sure to give the "binary" command before doing the "get". (Some version of FTP use different names for these operations -- consult your local system maintainer if you have trouble with this.) 5. The directory "/afs/cs/project/connect/code" contains public-domain programs implementing the Quickprop and Cascade-Correlation algorithms, among other things. Access it in the same way. ------------------------------ Subject: postdoctoral fellowship opportunity for women and minorities From: Ken Miller Date: Mon, 27 Sep 93 03:13:58 -0800 The University of California annually awards 20 or more postdoctoral fellowships to women and minorities under the "President's Postdoctoral Fellowship Program". Fellowships are awarded to work with a faculty member at any of the nine UC campuses or at one of the three national laboratories associated with UC (Lawrence Berkeley, Lawrence Livermore, and Los Alamos). Fellowships pay $26-27,000/year, plus health benefits and $4000/year for research and travel. Applicants must be citizens or permanent residents of the United States, and should anticipate completion of their Ph.D.'s by July 1, 1994. For this year's competition, DEADLINE FOR APPLICATION IS DECEMBER 14, 1993. There are many of us who work in computational neuroscience or connectionism in the UC system or the national labs. I would encourage anyone eligible to make use of this opportunity to obtain funding to work with one of us. In particular, I encourage anyone interested in computational neuroscience to contact me to further discuss my own research program and the research opportunities in computational and systems neuroscience at UCSF. To receive a fellowship application and further information, contact: President's Postdoctoral Fellowship Program Office of the President University of California 300 Lakeside Drive, 18th Floor Oakland, CA 94612-3550 Phone: 510-987-9500 or 987-9503 Ken Miller Kenneth D. Miller telephone: (415) 476-8217 Dept. of Physiology internet: ken@phy.ucsf.edu University of California, fax: (415) 476-4929 San Francisco 513 Parnassus San Francisco, CA 94143-0444 [Office: S-859] ------------------------------ Subject: Job vacancy in evolutionary algorithms From: S.FLOCKTON@rhbnc.ac.uk Date: Mon, 27 Sep 93 12:41:37 +0000 ROYAL HOLLOWAY, UNIVERISTY OF LONDON POST-DOCTORAL RESEARCH ASSISTANT EVOLUTIONARY ALGORITHMS IN NON-LINEAR SIGNAL PROCESSING Applications are invited for this SERC-funded post, tenable for three years from 1 October 1993 or soon after, to carry out a comparison of the effectiveness of evolution-based algorithms for a number of signal processing problems. This comparison will be done by study of example problems and developing theoretical ideas concerning the behaviour of these algorithms. The successful applicant will join a group investigating several different aspects of genetic algorithms and neural networks. Royal Holloway, one of the five multi-faculty Colleges of the University of London, is situated in a campus environment approximately 20 miles west of London, just outside the M25. Applicants should hold a PhD in Electrical Engineering, Computer Science, Physics, or a related field, preferably in digital signal processing or genetic and/or other evolution-based algorithms. Salary on the Research 1A Scale (UKpounds 14,962 - 17,320 pa, inclusive of London Allowance). Informal enquiries to Dr Stuart Flockton (Tel: 0784 443510 , Fax: 0784 472794, email: S.Flockton@rhbnc.ac.uk). Further particulars from the Personnel Officer, Royal Holloway, University of London, Egham, Surrey, TW20 0EX Tel: 0784 443030. Closing date for applications: 15th October 1993 ------------------------------ Subject: 'Fractal Extrapolation', is there such a thing? From: pwm@csis.dit.csiro.au Date: Mon, 27 Sep 93 13:53:29 -0500 Dear Digest Moderator, I'd be grateful if you could include this in a furure digest: I'm wondering if there is such a thing as fractal extrapolation. I have a timeseries for which I have a probabalistic structural feature which operates at many levels and allows me to make good predictions ~70% at each level of the direction of the next move by delta. I'm interested in trying to understand the 'big picture' here and got to wondering whether there is such a thing as fractal extrapolation? I would be grateful for any pointers to work along these lines. Cheers, Peter (milne@csis.dit.csiro.au) ------------------------------ End of Neuron Digest [Volume 12 Issue 4] **************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 8296; Wed, 29 Sep 93 20:25:03 EDT Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Wed, 29 Sep 93 20:25:00 EDT Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA25307; Wed, 29 Sep 93 20:14:28 -0400 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA27812; Wed, 29 Sep 93 19:24:57 EDT Posted-Date: Wed, 29 Sep 93 19:24:09 -0400 From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #5 (conferences & CFP) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Wed, 29 Sep 93 19:24:09 -0400 Message-Id: <27800.749345049@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Wednesday, 29 Sep 1993 Volume 12 : Issue 5 Today's Topics: ISIKNH'94 call for papers - INSTRUMENTATION AND MEASUREMENTS NIPS 93 Announcement: Workshop on Selective Attention NIPS-93 Workshop "Parallel Processing" NIPS'93 workshop on "Stability and Solvability" Applied Imagery Pattern Recognition: Workshop Announcement DYNAMICAL SYSTEMS IN THE NEUROSCIENCES Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: ISIKNH'94 From: "Li-Min Fu" Date: Thu, 16 Sep 93 14:42:20 -0500 CALL FOR PAPERS International Symposium on Integrating Knowledge and Neural Heuristics (ISIKNH'94) Sponsored by University of Florida, and AAAI, in cooperation with IEEE Neural Network Council, INNS-SIG, and FLAIRS. Time: May 9-10 1994; Place: Pensacola Beach, Florida, USA. A large amount of research has been directed toward integrating neural and symbolic methods in recent years. Especially, the integration of knowledge-based principles and neural heuristics holds great promise in solving complicated real-world problems. This symposium will provide a forum for discussions and exchanges of ideas in this area. The objective of this symposium is to bring together researchers from a variety of fields who are interested in applying neural network techniques to augmenting existing knowledge or proceeding the other way around, and especially, who have demonstrated that this combined approach outperforms either approach alone. We welcome views of this problem from areas such as constraint-(knowledge-) based learning and reasoning, connectionist symbol processing, hybrid intelligent systems, fuzzy neural networks, multi-strategic learning, and cognitive science. Examples of specific research include but are not limited to: 1. How do we build a neural network based on {\em a priori} knowledge (i.e., a knowledge-based neural network)? 2. How do neural heuristics improve the current model for a particular problem (e.g., classification, planning, signal processing, and control)? 3. How does knowledge in conjunction with neural heuristics contribute to machine learning? 4. What is the emergent behavior of a hybrid system? 5. What are the fundamental issues behind the combined approach? Program activities include keynote speeches, paper presentation, panel discussions, and tutorials. ***** Scholarships are offered to assist students in attending the symposium. Students who wish to apply for a scholarship should send their resumes and a statement of how their researches are related to the symposium. ***** Symposium Chairs: LiMin Fu, University of Florida, USA. Chris Lacher, Florida State University, USA. Program Committee: Jim Anderson, Brown University, USA Michael Arbib, University of Southern California, USA Fevzi Belli, The University of Paderborn, Germany Jim Bezdek, University of West Florida, USA Bir Bhanu, University of California, USA Su-Shing Chen, National Science Foundation, USA Tharam Dillon, La Trobe University, Australia Douglas Fisher, Vanderbilt University, USA Paul Fishwick, University of Florida, USA Stephen Gallant, HNC Inc., USA Yoichi Hayashi, Ibaraki University, Japan Susan I. Hruska, Florida State University, USA Michel Klefstad-Sillonville CCETT, France David C. Kuncicky, Florida State University, USA Joseph Principe, University of Florida, USA Sylvian Ray, University of Illinois, USA Armando F. Rocha, University of Estadual, Brasil Ron Sun, University of Alabama, USA Keynote Speaker: Balakrishnan Chandrasekaran, Ohio-State University Schedule for Contributed Papers - ---------------------------------------------------------------------- Paper Summaries Due: December 15, 1993 Notice of Acceptance Due: February 1, 1994 Camera Ready Papers Due: March 1, 1994 Extended paper summaries should be limited to four pages (single or double-spaced) and should include the title, names of the authors, the network and mailing addresses and telephone number of the corresponding author. Important research results should be attached. Send four copies of extended paper summaries to LiMin Fu Dept. of CIS, 301 CSE University of Florida Gainesville, FL 32611 USA (e-mail: fu@cis.ufl.edu; phone: 904-392-1485). Students' applications for a scholarship should also be sent to the above address. General information and registration materials can be obtained by writing to Rob Francis ISIKNH'94 DOCE/Conferences 2209 NW 13th Street, STE E University of Florida Gainesville, FL 32609-3476 USA (Phone: 904-392-1701; fax: 904-392-6950) - --------------------------------------------------------------------- If you intend to attend the symposium, you may submit the following information by returning this message: NAME: _______________________________________ ADDRESS: ____________________________________ _____________________________________________ _____________________________________________ _____________________________________________ _____________________________________________ PHONE: ______________________________________ FAX: ________________________________________ E-MAIL: _____________________________________ ------------------------------ Subject: call for papers - INSTRUMENTATION AND MEASUREMENTS From: PIURI@IPMEL1.POLIMI.IT Date: Fri, 17 Sep 93 18:59:03 +0700 ============================================================================= 1994 INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENTS IMTC'94 Advanced Technologies in Instrumentation and Measurements Hamamatsu, Shizuoka, Japan - 10-12 May 1994 ============================================================================= SPECIAL SESSION ON NEURAL INSTRUMENTS CALL FOR PAPERS Program Chair: Kenzo Watanabe Research Institute of Electronics Shizuoka University 3-5-1 Johoku, Hamamatsu, 423 Japan phone +81-53-471-1171 fax +81-53-474-0630 General Chair: Robert Myers 3685 Motor Ave., Suite 240 Los Angeles, CA 90034-5750, USA phone +1-310-287-1463 fax +1-310-286-1851 Sponsored by: IEEE Intrsumentation and Measurement Society Society of Instruments and Control Engineers, Japan Cooperated by: Institute of Electrical Engineers, Japan Institute of Electronics, Information and Communication Engineers, Japan Japan Society of Applied Physics Japan Electric Measuring Instrument Manufacturers' Association The IMTC'94 Conference is the 10th edition of the annual conference organized by the IEEE Instrumentation and Measurement Society to provide a stimulating forum for practitioners and scientists working in areas related to any kind of measurements, theoretical aspects of mesurements, instruments for measurements, and measurement processing. Traditional topics are: Acoustics measurements, AI & fuzzy, Automotive & avionic instrumentation, Calibrartion, Metrology & standards, Digital signal analysis & processing, Digital and mobile communications, LSI analysis, diagnosis & testing, Mixed analog & digital ASICs, Optic & fiber optic measurement, Process measurements, Sensor & transducers, System identification, Waveform analysis and measurements, A/D and D/A, Data acquisition, Antenna & EMI / EMC, Biomedical instruments, Computer-based measurements & software, Environment measurements, Microwave measurements, Nuclear & medial instruments, Pressure & temperature measurements, Quality & reliability, STM and imaging, Time and Frequency measurements. To support presentation and discussion of emergent technologies, a special session on Neural Instruments will be organized within IMTC'94. Main goals are neural technologies for measurements, applications of neural networks in measurement and instruments, design and implementation of neural solutions for instrument's subsystems, neural subsystems for automatic control, and neural subsystems for signal processing. Authors are invited to submit one-page abstract (containing title, authors, affiliations, and the session name "Neural Instruments" in the upper right corner) and cover page (containing title, authors, affiliations, contact author, full address of the contact author, telephone and fax number of the contact author, and the session name "Neural Instruments" in the upper right corner). Submission must be received by the general chair (for authors from Europe and North-America) or by the program chair (for authors from Asia and other areas) by October 1st, 1993. Fax submissions are accepted. An additional copy of the submission should be sent by e-mail or fax to the coordinator of the session on Neural Instruments (this copy does not substitute the formal submission to the general chair or the program chair). Submission of a paper implies a willingness to attend at the conference and to present the paper. Notification of acceptance will be mailed by December 1st, 1993; camera-ready papers are due by February 1st, 1994. Authors of selected papers will also be invited to submit their papers for consideration for the special IMTC/94 issue of the IEEE Transaction on Instrumentation and Measurements. For any additional information regarding the special session on Neural Instruments, contact the session coordinator. Session Coordinator for "Neural Instruments": Prof. Vincenzo PIURI Department of Electronics and Information Politecnico di Milano piazza L. da Vinci 32 I-20133 Milano, Italy phone no. +39-2-2399-3606, +39-2-2399-3623 fax no. +39-2-2399-3411 e-mail piuri@ipmel1.polimi.it ============================================================================= ------------------------------ Subject: NIPS 93 Announcement: Workshop on Selective Attention From: Ernst Niebur Date: Tue, 21 Sep 93 13:06:36 -0800 Fellow Connectionists: We would like to announce the final program of a workshop on visual selective attention to be held at this year's NIPS conference. The conference will be held from Nov. 29 to Dec. 2 in Denver, CO, the workshop will be held Dec. 3 and 4 "at a nearby ski area." For NIPS conference and workshop registration info, please write to: NIPS*93 Registration / NIPS Foundation / PO Box 60035 / Pasadena, CA 91116-6035 USA For questions concerning this workshop, please contact either of the organizers by e-mail. - --Ernst Niebur NIPS*93 Workshop: Neurobiology, Psychophysics, and Computational ================= Models of Visual Attention Intended Audience: Experimentalists, modelers and others interested in ================== visual attention and high-level vision Organizers: =========== Ernst Niebur Bruno Olshausen ernst@caltech.edu bruno@lgn.wustl.edu Program: ======== In any physical computational system, processing resources are limited, which inevitably leads to bottlenecks in the processing of sensory information. Nowhere is this more evident than in the primate visual system, where the massive amount of information provided by the optic nerve far exceeds what the brain is capable of fully processing and assimilating into conscious experience. Visual attention thus serves as a mechanism for selecting certain portions of the input to be processed preferentially, shifting the processing focus from one location to another in a serial fashion. The study of visual attention is integral to our understanding of higher visual function, and it may also be of practical benefit to machine vision as well. What we know of visual attention has been learned from a combination of psychophysical, neurophysiological, and computational approaches. Psychophysical studies have revealed the behavioral consequences of visual attention by measuring either a speed-up in observer's reaction time or an improvement in discrimination performance when the observer is attending to a task. Neurophysiological studies, on the other hand, have attempted to reveal the neural mechanisms and brain areas involved in attention by measuring the modulation in single cell firing rate or in the activity in a part of the brain as a function of the attentional state of the subject. A number of computational models based on these studies have been proposed to address the question of how attention eases the computational burdens faced by the brain in pattern recognition or other visual tasks, and how attention is controlled and expressed at the neuronal level. The goal of this workshop will be to bring together experts from each of these fields to discuss the latest advances in their approaches to studying visual attention. Half the available time has been reserved for informal presentations and the other half for discussion. Morning session: 7:30-8:00 Introduction/overview "Covert Visual Attention: The Phenomenon" (Ernst Niebur, Caltech) (7:50-8:00: Discussion) 8:00-9:00 Neurobiology 8:00 "Effects of Focal Attention on Receptive Field Profiles in Area V4" (Ed Connor, Washington University) (8:20-8:30: Discussion) 8:30 "Neurophysiological evidence of scene segmentation by feature selective, parallel attentive mechanisms" (Brad Motter, VA Medical Center/SUNY-HSC, Syracuse) (8:50-9:00: Discussion) 9:00-9:30 General Discussion Afternoon session: 4:30-5:00 Psychophysics "Attention and salience: alternative mechanisms of visual selection" (Jochen Braun, Caltech) (4:50-5:00: Discussion) 5:00-6:00 Computational models 5:00 "Models for the neural implementation of attention based on the temporal structure of neural signals" (Ernst Niebur, Caltech) (5:20-5:30: Discussion) 5:30 "Dynamic routing circuits for visual attention" (Bruno Olshausen, Washington University/Caltech) (5:50-6:00: Discussion) 6:00-6:30 General discussion ------------------------------ Subject: NIPS-93 Workshop "Parallel Processing" From: Joachim Diederich Date: Fri, 24 Sep 93 04:12:20 -0500 NIPS*93 Workshop: Connectionist Modelling and Parallel Architectures ================= -------------------------------------------------- 4 December 1993; Vail, Colorado Intended Audience: computer scientists and engineers as well as ================== biologists and cognitive scientists Organizers: =========== Joachim Diederich Ah Chung Tsoi Neurocomputing Research Centre Department of Elec. and Computer Engineering Queensland University of Technology University of Queensland joachim@fitmail.fit.qut.edu.au act@s1.elec.uq.oz.au Program: ======== The objective of the workshop is to provide a discussion platform for researchers interested in software and modelling aspects of neural computing. The workshop should be of considerable interest to computer scientists and engineers as well as biologists and cognitive scientists. The introduction of specialized hardware platforms for connectionist modelling ("connectionist supercomputer") has created a number of research issues which should be addressed. Some of these issues are controversial (incl. the need for such specialized architectures): the efficient implementation of incremental learning techniques, the need for the dynamic reconfiguration of networks at runtime and possible programming environments for these machines. The following topics should be addressed: - - the efficient simulation of homogenuous network architectures; mapping of homogenous network architectures to parallel machines - - randomness and sparse coding; the efficient simulation of sparse networks on sequential and parallel machines. Sparse activity and communication in parallel architectures - - arbitrary interconnection schemes and their mapping to parallel architectures - - dynamic reconfiguration: the modification of network structures and activation functions at runtime. Possible trade-offs between the efficient simulation of fixed-sized networks and constructive (incremental) learning algorithms - - software tools and environments for neural network modelling, in particular for parallel architectures - - connectionist supercomputer (such as CNAPS, Synapse and CNS-1) hardware and programming issues associated with connectionist supercomputer - - biologically realistic modelling on parallel machines, the simulation of synaptogenesis, spike trains etc. - - realistic simulation of the brain integrating over a number of scales of complexity, from the detailed simulation of neurons to high level abstractions The following is a preliminary schedule, we expect to have two more slots for brief presentations and invite abstracts for short talks (about 10-15min). Please send e-mail to: joachim@fitmail.fit.qut.edu.au Morning Session: - ---------------- 7:30-7:40 Joachim Diederich, Queensland University of Tech., Brisbane Introduction 7:40-8:10 Jerome A. Feldman, ICSI & University of California, Berkeley The Connectionist Network Supercomputer (CNS-1) 8:10-8:30 Discussion 8:30-8:50 Nigel Goddard, Pittsburgh Supercomputer Center Practical Parallel Neural Simulation 8:50-9:10 Per Hammarlund, Royal Institute of Technology, Stockholm Simulation of Large Neural Networks: System Specification and Execution on Parallel Machines 9:10-9:30 Discussion Afternoon Session: - ------------------ 4:30-4:50 Paul Murtagh & Ah Chung Tsoi, University of Queensland, St. Lucia Digital implementation of a reconfigurable VLSI neural network chip 4:50-5:20 Ulrich Ramacher, Siemens AG, Munich The Neurocomputer SYNAPSE-1 5:20-5:30 Discussion 5:30-6:00 Guenther Palm & Franz Kurfess, University of Ulm Parallel Implementations of Neural Networks for Associative Memory 6:00-6:30 Discussion ------------------------------ Subject: NIPS'93 workshop on "Stability and Solvability" From: GARZONM@hermes.msci.memst.edu Date: 28 Sep 93 09:28:07 -0600 C A L L F O R P A P E R S A One-day Workshop on * STABILITY AND OBSERVABILITY * at NIPS'93 December 3, 1993 We are organizing a workshop at the NIPS'93 -Neural Information Processing Systems conference to be held at the Denver/Vail area in Colorado December 3. The themes of the workshop are `Stability and Observability'. A more detailed description is attached below. There is still room for some contributed talks. If you are interested in presenting a paper based on previous and/or current research, send a short (one-page) abstract or contact one of the organizers by October 8 via email or fax. A list of speakers will be finalized by mid October. Fernanda Botelho Max Garzon botelhof@hermes.msci.memst.edu garzonm@hermes.msci.memst.edu FAX (901)678-2480 (preferred); 678-3299 Workshop cochairs _____________________________ cut here _________________________ The purpose of this one-day workshop is to bring together neural network practitioners, computer scientists and mathematicians interested in `stability' and `observability' of neural networks of various types (discrete/continuous time and/or activations). These two properties concern the relationship between defining parameters (weights, transfer functions, and training sets) and the behavior of neural networks from the point of view of an outside observer. This behavior is affected by noise, rounding, bounded precision, sensitivity to initial conditions, etc. Roughly speaking, *stability* (e.g. asymptotic, Lyapunov, structural) refers to the ability of a network (or a family of networks) to generate trajectories/orbits that remain reasonably close (resp., in structure, e.g. topological conjugacy) to the original under small perturbations of the input/initial conditions (or the defining parameters of the network). Of course, neural networks are well-known for their graceful degradation, but this is less clear an issue with bounded precision, continuous time with local interaction governed by differential equations, and learning algorithms. Second, the issue of *observability*, roughly speaking, concerns the problem of error control under iteration of recurrent nets. In dynamical systems observability is studied in terms of shadowing. But observability can also be construed other ways, e.g. as our ability to identify a network by observing the abstract i/o function that it realizes (which, at some level, reduces to essential uniqueness of an irreducible network implementing the i/o function). Speakers will present their views in short(< 20 min.) talks. A panel discussion coordinated by the cochairs will discuss known results, and identify fundamental problems and questions of interest for further research. F. Botelho and M. Garzon, cochairs botelhof@hermes.msci.memst.edu garzonm@hermes.msci.memst.edu Mathematical Sciences Institute for Intelligent Systems Memphis State University Memphis, TN 38152 U.S.A. Max Garzon (preferred) garzonm@hermes.msci.memst.edu Math Sciences garzonm@memstvx1.memst.edu Memphis State University Phone: (901) 678-3138/-2482 Memphis, TN 38152 USA Fax: (901) 678-3299 ------------------------------ Subject: Applied Imagery Pattern Recognition: Workshop Announcement From: harmon@erim.org (Laurel Harmon) Date: Tue, 28 Sep 93 12:26:01 -0500 ******************** ANNOUNCEMENT ********************* 22nd Applied Imagery Pattern Recognition Workshop October 13-15, 1993 Cosmos Club Washington, D.C. ********************************************************* INTERDISCIPLINARY COMPUTER VISION: APPLICATIONS AND CHANGING NEEDS SESSIONS ON: Environment and Global Change Medical and Biotechnology Security and Law Enforcement Document Image Understanding Object and Target Recognition Intelligent Highways KICKOFF SPEAKER: "Defense Reinvestment" Jane Harman U.S. Congress BANQUET ADDRESS: "High Performance Computing and Communication in Clinical Medicine" Julian Rosenman, MD PhD University of North Carolina __________________________________________________________ This Imagery Workshop brings together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range from research to fielded systems and provide, to managers and developers alike, a broad vision of the applicability of Image Understanding. __________________________________________________________ For program details and registration information, please direct inquiries to: Dr. Joan Lurie, AIPR Chair TRW - R2/1094 1 Space Park Redondo Beach, CA 90278 (310) 814-8690 or Dr. J.Michael Selander AIPR-03 Program Chair MITR (M.S. Z-267) 7525 Colshire Dr. McLean, VA 22102-3481 (703) 883-7294 mike@mwunix.mitre.org ******************** ANNOUNCEMENT ********************* ------------------------------ Subject: DYNAMICAL SYSTEMS IN THE NEUROSCIENCES From: "Dennis L. Glanzman" Date: Wed, 29 Sep 93 16:26:14 -0500 Would you please post the following announcement in the next issue of Neuron Digest. Thanks, Dennis L. Glanzman, Ph.D. Chief, Theoretical Neuroscience Program Division of Neuroscience and Behavioral Science National Institute of Mental Health Room 11-102 (301) 443-1576 Parklawn Building FAX: (301) 443-4822 5600 Fishers Lane BITNET: NGG@NIHCU Rockville, MD 20857 INTERNET: NGG@CU.NIH.GOV - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - C A L L F O R P O S T E R S National Institute of Mental Health Division of Neuroscience and Behavioral Science DYNAMICAL SYSTEMS IN THE NEUROSCIENCES "Multiscale Time and Space Coherence in Brain Function" A Satellite Symposium of the Annual Meeting of the Society for Neuroscience Friday, November 12, 1-5 PM and Saturday, November 13, 8-12 AM Washington Convention Center, Rooms 30-32 TUTORIALS Topics include basic concepts in chaos and fractals; biologically relevant applications from DNA to aesthetics; new techniques in time series analyses; communication among chaotic systems. Tutorial speakers: Heinz-Otto Peitgen, Universitt Bremen; Richard Voss, Watson Research Center of IBM; Eric Kostelich, Arizona State University; and Lou Pecora, Naval Research Laboratory APPLICATIONS Topics include fractal measures on auditory neuron activities, deterministic variability in hippocampal and spinal cord neural networks, semi-attractors in epilepsy, multifrequency coherence in brain waves during learning, electroencephalographic complexity following electroshock treatment, chaotic rhythms in patients with bipolar disorder. Invited speakers: Malvin Teich, Columbia University; Steven Schiff, Children's National Medical Center; William Schaffer, University of Arizona; Steven Bressler, Florida Atlantic University; Andrew Krystal, Duke University; and Alan Gottschalk, University of Pennsylvania POSTERS Original research contributions with a clear application of dynamics to Neuroscience are solicited. Authors should submit four copies of a 500-word (or less) summary clearly stating their problem, application and results, postmarked by October 15, 1993. Include addresses of all authors on the front of the summary and indicate to which author correspondence should be addressed. For further information about the symposium, or to submit a poster abstract, please contact: D. Glanzman, NIMH, Room 11-102, 5600 Fishers Lane, Rockville, MD 20857 Telephone: (301) 443-1576 Fax: (301) 443-4822 ------------------------------ End of Neuron Digest [Volume 12 Issue 5] **************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 2528; Thu, 07 Oct 93 15:09:39 EDT Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Thu, 07 Oct 93 15:09:20 EDT Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA23022; Thu, 7 Oct 93 14:46:12 -0400 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA05943; Thu, 7 Oct 93 12:36:49 EDT Posted-Date: Thu, 07 Oct 93 12:36:08 -0400 From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #6 Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Thu, 07 Oct 93 12:36:08 -0400 Message-Id: <5936.750011768@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Thursday, 7 Oct 1993 Volume 12 : Issue 6 Today's Topics: Summer Institute Re: Info on Neural Network based Multivariate Analysis BP on Prediction of Protein Structure Problem Protein Structure Prediction Postdoctoral position Model problem for feedforward networks Deadline reminder: Music/arts special issue Research Job - Switzerland Research post - Treebank-translation Stochastic Neural Networks for Optimization problems Positions in BIOCOMPUTING Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: Summer Institute From: Terry Sejnowski Date: Tue, 28 Sep 93 17:49:21 -0800 SUMMER INSTITUTE IN COGNITIVE NEUROSCIENCE at The University of California, Davis The 1994 Summer Institute will be held at the University of California, Davis, from July 10 through 23. The two week course will examine how information about the brain bears on issues in cognitive science, and how approaches in cognitive science apply to neuroscience research. A distinguished international faculty will lecture on current topics in brain plasticity, strategies of neuroencoding, and evolution. Laboratorites and demonstrations will provide practical experience with cognitive neuropsychology experiments, connectionist/computational modeling, and neuroimaging techniques. At every stage, the relationship between cognitive processes and underlying neural circuits will be explored. The Foundation is providing room/board and limited support for travel. Faculty Include: Richard Andersen, Max Bear, Ira Black, Kenneth H. Britten, Simon Baron Cohen, Leda Cosmides, Randy Gallistel, Michael S. Gazzaniga, Charles Gilbert, Charles M. Gray, Eric Knudsen, Peter Marler, Michael Merzenich, Reid Montague, Steven Pinker, V. Ramachandran, Gregg Recanzone, Barry Richmond, Mitch Sutter, Timothy Tonini, John Tooby, and many others. For information and applications please write to: McDonnell Summer Institute in Cognitive Neuroscience Center for Neuroscience, 1544 Newton Court University of California, Davis Davis, California 95616 USA APPLICATIONS MUST BE RECEIVED BY JANUARY 15, 1994 ------------------------------ Subject: Re: Info on Neural Network based Multivariate Analysis From: URPANI D Date: Thu, 30 Sep 93 16:18:37 -0100 Neuron Digesters This is a plea for information. I am a PhD student at Swinburne Uni, Melbourne, Australia. My interests are neural net applications in the process industry with particular reference to aluminum smelting. The idea is to find ways and means to make the process operate in a more efficient envelope. Approx. 15 sensor measurements are currently logged daily. My first step is to try to cluster there measurements into groups so that later on I can assign a process conditon or state to each one. Each condition can then be tagged with a process performance index such as kg Al/kWH. I have been using hierarchical cluster analysis in the hope of achieving this so I will have set of input vectors (15 dimensional) and a fair,good, bad etc process condition attached to them ie I can then progress form an unsupervised to a supervised learning situation. However cluster analysis does not seem to be discriminating as well as I hoped and I think I will have to do the clustering job using NN (SOM's, LVQ's etc). I suspect there could be some problems associated with the time series nature of the data (variables autocorrelated etc). I wonder if anyone of you have come across a similar problem and if you could volunteer some help. Thank you. Regards, David Urpani// dju@stan.xx.swin.OZ.AU // ------------------------------ Subject: BP on Prediction of Protein Structure Problem From: pb@cse.iitb.ernet.in (Pushpak Bhattacharya) Date: Fri, 01 Oct 93 23:44:20 +0700 We are trying to train a BP neural net (PDP-3 package of Rumelhart and Mclleland is being used) with the input as the primary structure and the output as the conformational state of the amino acids. The net has 65 binary inputs and 3 binary outputs. The number of patterns to be trained are more than eight thousand. We have 20 neurons in the hidden layer. Now, just after one epoch the hidden neurons go into saturation state - all their outputs are 1. At the same time the output neurons also go into saturation. All their outputs become 0. We understand that the primary reason for this is that A LARGE number of patterns are being trained on a net with large no of inputs. The weights to the o/p layer keep on getting the same kind of "Credit", so that their values go on decreasing to large negative values. Could anybody suggest a way out of this difficulty - which to our mind is a result of applying BP on a large-size real life problem ? (those applying BP on large problems will appreciate our difficulty !). ------------------------------ Subject: Protein Structure Prediction From: pb@cse.iitb.ernet.in (Pushpak Bhattacharya) Date: Fri, 01 Oct 93 23:49:24 +0700 Oops! we forgot to mention the email addr pb@cse.iitb.ernet.in (Pushpak Bhattacharyya, CS & E , IIT Bombay) susmita@cse.iitb.ernet.in (Susmita De, CS & E, IIT Bombay Thanking you, Pushpak Bhattacharyya Susmita De ------------------------------ Subject: Postdoctoral position From: axon@cortex.rutgers.edu (Ralph Siegel) Date: Fri, 01 Oct 93 21:17:56 -0500 PLEASE POST Postdoctoral Fellow. Analysis of visual structure-from-motion in primates. These studies combine visual psychophysics and single unit recording in awake behaving monkeys. Single unit recordings are being made in visual association cortex using carefully controlled visual stimuli. Laboratory also has ongoing human psychophysical studies with normal and cortically compromised human subjects as well as computational studies. Recent graduates who are changing fields from either cellular or computational neuroscience to behavioral and physiological studies are encouraged to apply. Computer expertise useful, but not necessary. Superb experimental and computational facilities in a multi-disciplinary research center. NY-NJ Metro area. Contact: Ralph Siegel Center for Molecular and Behavioral Neuroscience Rutgers, The State University 197 University Avenue Newark, NJ 07102 phone: 201-648-1080 x3261 fax: 201-648-1272 email: axon@cortex.rutgers.edu Term: 24 months, beginning 10/1/93 or later Salary: NIH level and supplement Please send statement of research interests, curriculum vitae, and names of three references. ------------------------------ Subject: Model problem for feedforward networks From: maxim@wisdom.weizmann.ac.il (Kovalenko Maxim) Date: Sat, 02 Oct 93 20:31:34 +0100 Hello, I am developing a learning paradigm for feedforward networks that presumably improves the convergence properties of the currently available algorythms. However, one of the drawbacks of the approach is that input/output patterns should have the "space" nature, i.e. have local correlation like in images or time series. Could anyone point me to a good (practically significant) model problem that involves this specific nature of input/ouput data and is known to be solved slowly using algorythms like back-propagation? I would appreciate any related references or comments. Thank you for your attention, Maxim Kovalenko _________________________________________________________________________ | Maxim L. Kovalenko, | e_mail: maxim@wisdom.weizmann.ac.il Department of Apllied Mathematics, | fax: 972-8-344122 The Weizmann Institute of Science, | tel.: 972-8-343668 Rehovot, 76100 | Israel | ------------------------------ Subject: Deadline reminder: Music/arts special issue From: "Peter M. Todd" Date: Sat, 02 Oct 93 18:05:02 -0500 **** PLEASE DISTRIBUTE **** MUSIC AND CREATIVITY Call for Papers for a Special Issue of Connection Science-- Reminder of approaching deadline The October 15 deadline for submissions to the special issue of Connection Science on network applications in music, arts, and creativity, is fast approaching. We seek full-length papers on empirical or theoretical work in the areas of modelling musical cognition; network composition, choreography, or visual creation; integration of high- and low-level musical or artistic knowledge; cross-modal integration (e.g. rhythm and tonality); developmental models; cross-cultural models; psychoacoustic models; relationships between music and language; and connections to cognitive neuroscience. We also welcome shorter research notes up to 4000 words in length covering ongoing research projects. For a complete call for papers and author guidelines, or to submit a paper (five copies), contact the Special Issue Editors: Niall Griffith Department of Computer Science, University of Exeter, Prince of Wales Road, Exeter, EX4 4PT, England. E-mail: ngr@dcs.exeter.ac.uk Peter M. Todd The Rowland Institute for Science 100 Edwin H. Land Boulevard Cambridge, MA 02142 USA E-mail: ptodd@spo.rowland.org ------------------------------ Subject: Research Job - Switzerland From: Christian Lehmann Date: Mon, 04 Oct 93 10:39:26 +0000 University of Lausanne: Graduate student position (Doctorant) available in October 1993 at the Institute of Physiology Topic: Spatial and temporal processing in neural networks The student will be integrated in an electrophysiology group working with simultaneous single unit recordings. A tight collaboration with the Swiss Federal School of Technology (EPFL) will provide the latest technical facilities. It is expected that she/he will acquire in-depth knowledge in the fast growing field of neural networks in order to develop and test original ideas on information processing in the brain. A good background in mathematics, physics, and biology as well as knowledge of at least one higher programming language is recommended. Our Ph.D. program extends over a duration of three years minimum. The minimum salary ranges between US$19,000 and 24,000/year. Please send applications (curriculum vitae and letters of recommendations of two academic referees) to or get further information from: Dr. Alessandro Villa or Dr. Yves de Ribaupierre, UNIL Institute of Physiology, Rue du Bugnon 7, CH-1005 Lausanne, Switzerland. Tel. ++41-21-313.2809 FAX ++41-21-313.2865 E-mail: villa@ulmed.unil.ch ------------------------------ Subject: Research post - Treebank-translation From: E S Atwell Date: Mon, 04 Oct 93 16:10:05 +0000 The following is an advert for a Research Fellowship and one or more Visiting Fellowships attached to a project to map between a number of English Corpus annotation schemes. The exact method for mapping between syntax trees of two given parsing schemes is open - presumably one way is to `hand-annotate' a common sample (we call this a Multi-Treebank as each sentence has more than one parse-tree) and then set a Neural Net to learn the mapping between corresponding parses. Anyone who'd like to do this is welcome to seek further details, and maybe even apply for the 3-year post or just visit Leeds temporarily... Eric Atwell cf: THE UNIVERSITY OF LEEDS SCHOOL OF COMPUTER STUDIES - AI Division Centre for Computer Analysis of Language And Speech (CCALAS) RESEARCH FELLOW IN COMPUTATIONAL LINGUISTICS The above SERC-funded post is available immediately for a fixed period of three years to work on a project in natural language processing, involving mapping between the syntactic annotation schemes of different ragged and parsed corpora, including LOB, Brown, London-Lund, UPenn, SEC, ICE, British National Corpus. A PhD or equivalent expertise in Linguistics, Computer Science or Artificial Intelligence is required; experience of corpus-based computational linguistics and the syntactic models of one or more of these corpora is preferred. Salary will be on the scale for Research Staff Grade IA (#12,828 - #20,442) according to qualifications and relevant experience. Informal enquiries about the post may be made to Eric Atwell, tel 0532 335761, fax 0532 335468, email eric@scs.leeds.ac.uk or Clive Souter, tel 0532 335460, email cs@scs.leeds.ac.uk Application forms and further particulars may be obtained from the Personnel Office (Academic Section), The University, Leeds LS2 9JT, England, tel 0532 335771 quoting reference no 48/105. Closing date for applications: November 1st 1993. The University of Leeds promotes an equal opportunities policy **************************************************************************** SERC VISITING FELLOWSHIPS SERC may also fund one or more Visiting Fellowships to support leading researchers from other Institutions who can contribute towards the project, visiting Leeds University for between a month and a year. We would particularly welcome researchers with in-depth experience of one or more of the tagging and/or parsing schemes, to advise us in the creation of the detailed mapping algorithms, and the Multi-Tagged Corpus and MultiTreebank. If you are interested in visiting CCALAS as a project advisor, please contact Eric Atwell (eric@scs.leeds.ac.uk) and/or Clive Souter (cs@scs.leeds.ac.uk). **************************************************************************** PROJECT SUMMARY: Mapping Between Corpus Annotation Schemes Several alternative tagged and parsed Corpora of English exist, including LOB, Brown, London-Lund, UPenn, SEC, ICE, British National Corpus, each with its own tagset and/or parsing scheme. A tagged or parsed Corpus has many applications, such as training linguistic constraint models for improved speech recognition; however users cannot combine Corpus training sets into a single language model, as the annotation schemes are incompatible. This project will design a set of tag- and tree-transducers or algorithms for mapping between the main corpus annotation schemes. This will allow users of one Corpus to view other Corpora as enlargements of their training set. One tagset and parsing scheme will be our 'base' or interlingua, and transducers will be built between this interlingua and the other annotation schemes. A relatively small test corpus will be annotated with all the schemes under consideration; we will investigate the use of the resulting Multi-tagged Corpus and Multitreebank as a standard evaluation benchmark for taggers and parsers. **************************************************************************** COMPUTATIONAL LINGUISTICS RESEARCH AT LEEDS UNIVERSITY The School of Computer Studies at Leeds provides excellent broad background support for research; we were graded 4(A) by UFC/HEFCs, and NLP makes an important and growing contribution to the School's research profile. At Leeds the Centre for Computer Analysis of Language And Speech (CCALAS), with Eric Atwell as Director and Peter Roach and Clive Souter as Deputy Directors, provides a focus for a broad range of corpus- and dictionary-based research including word-sense semantic disambiguation and tagging (Demetriou, Jost, Atwell), grammar-based reasoning (Mott, Silver), speech act theory (Holdcroft, Wallis, Wynne, Millican), probabilistic parsing (Pocock, O'Donoghue, Atwell, Souter, Hogg), corpus collocation analysis (Howarth, Cowie, Davidson), corpus annotation (Atwell, Roach, Souter, Arnfield, Ghali, Bull), grammatical inference and clustering (Hughes, Tarver, Atwell) speech recognition (Roach, Ueberla, Kirby, Moore, Lockhart, Mair, Sergant), speech synthesis (Scully, Roach), handwriting recognition (Hanlon, Boyle, Bushofa), text generation (Cole, Grierson, Tawalbeh), human-computer interaction (Crow), computers in language teaching and linguistics (Davidson, Fox, Roach, Hunter, Shivtiel), computers in lexicography (Roach, Setter, Cowie, Atwell, Souter). **************************************************************************** Leeds University has over 15,000 students and 2,000 academic and research staff, making it one of the largest in Britain. Leeds is half-way between London and Edinburgh, linked by rail, motorway and air to the rest of the UK and Europe. It is the 20th largest city in the European Community, with the excellent arts, sport and other social facilites expected of a growing, multi-cultural metropolis; but it is also close to four National Parks. More background information on the Project, CCALAS, the University, and Leeds and its environs can be found in the Further Particulars from the Personnel Office. ------------------------------ Subject: Stochastic Neural Networks for Optimization problems From: suchi@pollux.cs.uga.edu (Suchi Bhandarkar) Date: Mon, 04 Oct 93 16:08:49 -0500 Could someone give me references on Stochastic Neural Network-based approaches to combinatorial and continuous variable optimization? Please e-mail your responses to "suchi@cs.uga.edu" Thank you very much. Sincerely, Suchi Bhandarkar University of Georgia E-mail: suchi@cs.uga.edu ------------------------------ Subject: Positions in BIOCOMPUTING From: Soren Brunak Date: Tue, 05 Oct 93 12:04:07 +0000 Positions in BIOCOMPUTING at the Danish Center for Biological Sequence Analysis, Department of Physical Chemistry, The Technical University of Denmark (Lyngby). A number of pre- and post-doctoral positions are available at the newly formed Center for Biological Sequence Analysis. They have a duration of one, two and three years, starting late 1993 or early 1994. The center is funded by a five-year grant from the Danish National Research Foundation and conducts an active research program in biomolecular sequence and structure analysis with emphasis on novel adaptive computational strategies. The Technical University of Denmark is situated in Lyngby just outside Copenhagen. The center offers employment to researchers with a background primarily in the natural sciences, molecular biology, genetics, chemistry and physics. We seek individuals with additional competence and interest in areas of computer science, but not with this area as the main subject of expertise. Priority will be given to younger scientists with experience in some of the following areas (in alphabetical order): experimental molecular biology, information theory and statistics, mathematical analysis, neural computation, protein folding, physics of computation and complex systems, and sequence analysis. In a wide range of projects the center collaborates with national and foreign groups using novel adaptive computational methods many of which have received attention in the biocomputing context only recently. The center is characterized by the use of new approaches both regarding the algorithmic aspect of the simulation methods as well as the use of advanced hardware. A wide range of parallel and cluster computing environments is available locally at the center; a nearby supercomputer center offers easy access to CRAY and Connection Machine facilities. Among the research topics are pre--mRNA splicing, recognition of vertebrate promoters, RNA folding, protein structure prediction, proteolytic processing of polyproteins, signal peptide recognition, phylogenies, global multiple sequence alignment and dedicated sequence analysis hardware. The results are evaluated through intensive exchange with experimentalists. For further information, feel free to contact us at the address below. Applicants should send their resumes to Soren Brunak Center director Center for Biological Sequence Analysis Department of Physical Chemistry The Technical University of Denmark Building 206 DK-2800 Lyngby Denmark Tel: +45-42882222, ext. 2477 Fax: +45-45934808 Email: brunak@cbs.dth.dk ------------------------------ End of Neuron Digest [Volume 12 Issue 6] **************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 6636; Mon, 18 Oct 93 22:50:10 EDT Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Mon, 18 Oct 93 22:50:06 EDT Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA29117; Mon, 18 Oct 93 22:47:54 -0400 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA22291; Mon, 18 Oct 93 21:52:45 EDT Posted-Date: Mon, 18 Oct 93 21:51:20 -0400 From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #7 (conferences) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Mon, 18 Oct 93 21:51:20 -0400 Message-Id: <22266.750995480@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Monday, 18 Oct 1993 Volume 12 : Issue 7 Today's Topics: ECAI '94 Amsterdam Bat-Sheva Seminar on Functional Brain Imaging Symposium on Connectionist Models and Psychology (Australia) Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: ECAI '94 Amsterdam From: vet@cs.utwente.nl (Paul van der Vet) Date: Thu, 01 Jul 93 16:24:14 +0100 E C A I '94 A M S T E R D A M 11th European Conference on Artificial Intelligence Amsterdam RAI International Exhibition and Congress Centre The Netherlands August 8-12, 1994 Call for Papers Call for Workshop proposals Exhibition Call for Tutorial proposals Organized by the European Coordinating Committee for Artificial Intelligence (ECCAI) Hosted by the Dutch Association for Artificial Intelligence (NVKI) The European Conference on Artificial Intelligence (ECAI) is the European forum for scientific exchange and presentation of AI research. The aim of the conference is to cover all aspects of AI research and to bring together basic research and applied research. The Technical Programme will include paper presentations, invited talks, panels, workshops, and tutorials. The conference is designed to cover all subfields of AI, including non-symbolic methods. ECAIs are held in alternate years and are organized by the European Coordinating Committee for Artificial Intelligence (ECCAI). The 11th ECAI in 1994 will be hosted by the Dutch AI Society (NVKI). The conference will take place at the Amsterdam RAI, International Exhibition and Congress Centre. E X H I B I T I O N An industrial and academic exhibition will be organized from August 9 - 11, 1994. Detailed information will be provided in the second call for papers or can be obtained at the conference office (for the adress see elsewhere). S P O N S O R S (preliminary list) Bolesian B.V. Municipality of Amsterdam University of Amsterdam Vrije Universiteit Amsterdam University of Limburg C A L L F O R P A P E R S T O P I C S O F I N T E R E S T You are invited to submit an original research paper that represents a significant contribution to any aspect of AI, including the principles underlying cognition, perception, and action in humans and machines; the design, application, and evaluation of AI algorithms and intelligent systems; and the analysis of tasks and domains in which intelligent systems perform. Theoretical and experimental results are equally welcome. Papers describing innovative ideas are especially sought providing such papers include substantial analysis of the ideas, the technology needed to realize them, and their potential impact. Of special interest this year are papers which address applied AI. Two kinds of papers are sought. The first category is case studies of AI applications that address significant real-world problems and which are used outside the AI community itself; these papers must justify the use of the AI technique, explain how the AI technology contributed to the solution and was integrated with other components, and most importantly explain WHY the application was successful (or perhaps why it failed) -- these "lessons learned" will be the most important review criteria. The second category is for papers on novel AI techniques and principles that may enable more ambitious real-world applications. All the usual AI topics are appropriate. These papers must describe the importance of the approach from an applications context, in sufficient technical detail and clarity, and clearly and thoroughly differentiate the work from previous efforts. There will be special prizes for the best papers in both these areas. S U B M I S S I O N O F P A P E R S Authors are requested to submit to the Programme Chairperson 5 copies of papers written in English in hardcopy format (electronic and fax submissions will not be accepted). Each submitted paper must conform to the following specifications. Papers should be no longer than 5500 words including references. (Each full page of figures counts as 1100 words.) Papers longer than this limit risk being rejected without refereeing. A separate title page should include the title, the name(s) of the author(s), complete address(es), email, fax and telephone numbers, the specification of between one and four Content Areas, preferably chosen from the list below and an abstract (maximum 200 words). The title page should also contain a declaration that the paper is unpublished, original work, substantially different from papers currently under review and will not be submitted elsewhere before the notification date other than to workshops and similar specialized presentations with a very limited audience. Papers should be printed on A4 or 8.5"x11" sized paper in letter quality print, with 12 point type (10 chars/inch on a typewriter), single spaced. Double sided printing is preferred. Authors who wish to check that their submission will fit into the final CRC format will be able to obtain detailed instructions including a latex style file and example postscript pages after October 15 by anonymous FTP from agora.leeds.ac.uk, directory ECAI94, or by e-mailing ecai94-style@scs.leeds.ac.uk with a message body of "help". When submitting a paper an electronic mail message should also be sent to ecai94-title@scs.leeds.ac.uk giving information in the format specified below. If an intending author has no e-mail facilities then this requirement is waived. Papers should be sent to: Programme Chairperson: Dr Tony Cohn Division of Artificial Intelligence School of Computer Studies University of Leeds Leeds LS2 9JT United Kingdom Tel.: (+44)-532-33.54.82 Fax: (+44)-532-33.54.68 E-mail: ecai94@scs.leeds.ac.uk Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 9767; Tue, 19 Oct 93 16:40:55 EDT Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Tue, 19 Oct 93 16:40:51 EDT Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA15188; Tue, 19 Oct 93 16:37:36 -0400 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA11032; Tue, 19 Oct 93 15:38:42 EDT Posted-Date: Tue, 19 Oct 93 15:36:06 -0400 From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #8 (misc, jobs/jobs, s/w, various queries) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Tue, 19 Oct 93 15:36:06 -0400 Message-Id: <10983.751059366@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Tuesday, 19 Oct 1993 Volume 12 : Issue 8 Today's Topics: job opening at Indiana: Cognitive Science/Psychology Graduate study in Cognitive and Neural Systems at Boston University New Book Announcement Combinatorial optimization using neural nets? Request for Information - handwriting verification position @ U. Michigan Motif version of hyperplane animator available Neural nets and channel decoding/equalization? Assistant Professor opening POSITION AVAILABLE Short-term position (London) Neurosciences Internet Resource Guide SUMMARY: use of ANN in QSAR "On-line" journals and papers? Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: job opening at Indiana: Cognitive Science/Psychology From: John Kruschke Date: Wed, 06 Oct 93 11:13:58 -0600 > If budget constraints permit, the Psychology Department at > Indiana University anticipates a tenure-track appointment for the fall > of 1994 in Cognitive/Cognitive Science. Outstanding candidates in all > areas of cognitive psychology will be considered, including those > studying attention, visual perception and recognition, and basic > memory processes, and those utilizing quantitative and computer > modeling. Applications received before November 15, 1993, will be > assured of consideration. Submit curriculum vita, (p)reprints, a > description of current research interests and future directions, and > arrange for three letters of reference to be forwarded to Professor > M.J. Intons-Peterson, Chairperson, Department of Psychology, Indiana > University, Bloomington, IN 47405. Applications from women and > minority members are especially encouraged. Indiana University is an > Affirmative Action/Equal Opportunity Employer. ------------------------------ Subject: Graduate study in Cognitive and Neural Systems at Boston University From: Announce@PARK.BU.EDU Date: Thu, 07 Oct 93 16:09:31 -0500 (please post) *********************************************** * * * DEPARTMENT OF * * COGNITIVE AND NEURAL SYSTEMS (CNS) * * AT BOSTON UNIVERSITY * * * *********************************************** Stephen Grossberg, Chairman Gail A. Carpenter, Director of Graduate Studies The Boston University Department of Cognitive and Neural Systems offers comprehensive advanced training in the neural and computational principles, mechanisms, and architectures that underly human and animal behavior, and the application of neural network architectures to the solution of technological problems. Applications for Fall, 1994 admission and financial aid are now being accepted for both the MA and PhD degree programs. To obtain a brochure describing the CNS Program and a set of application materials, write, telephone, or fax: Department of Cognitive & Neural Systems Boston University 111 Cummington Street, Room 240 Boston, MA 02215 617/353-9481 (phone) 617/353-7755 (fax) or send via email your full name and mailing address to: rll@cns.bu.edu Applications for admission and financial aid should be received by the Graduate School Admissions Office no later than January 15. Late applications will be considered until May 1; after that date applications will be considered only as special cases. Applicants are required to submit undergraduate (and, if applicable, graduate) transcripts, three letters of recommendation, and Graduate Record Examination (GRE) scores. The Advanced Test should be in the candidate's area of departmental specialization. GRE scores may be waived for MA candidates and, in exceptional cases, for PhD candidates, but absence of these scores may decrease an applicant's chances for admission and financial aid. Non-degree students may also enroll in CNS courses on a part-time basis. Description of the CNS Department: The Department of Cognitive and Neural Systems (CNS) provides advanced training and research experience for graduate students interested in the neural and computational principles, mechanisms, and architectures that underlie human and animal behavior, and the application of neural network architectures to the solution of technological problems. Students are trained in a broad range of areas concerning cognitive and neural systems, including vision and image processing; speech and language understanding; adaptive pattern recognition; cognitive information processing; self- organization; associative learning and long-term memory; computational neuroscience; nerve cell biophysics; cooperative and competitive network dynamics and short-term memory; reinforcement, motivation, and attention; adaptive sensory-motor control and robotics; active vision; and biological rhythms; as well as the mathematical and computational methods needed to support advanced modeling research and applications. The CNS Department awards MA, PhD, and BA/MA degrees. The CNS Department embodies a number of unique features. It has developed a curriculum that consists of twelve interdisciplinary graduate courses each of which integrates the psychological, neurobiological, mathematical, and computational information needed to theoretically investigate fundamental issues concerning mind and brain processes and the applications of neural networks to technology. Nine additional advanced courses, including research seminars, are also offered. Each course is typically taught once a week in the evening to make the program available to qualified students, including working professionals, throughout the Boston area. Students develop a coherent area of expertise by designing a program that includes courses in areas such as Biology, Computer Science, Engineering, Mathematics, and Psychology, in addition to courses in the CNS curriculum. The CNS Department prepares students for thesis research with scientists in one of several Boston University research centers or groups, and with Boston-area scientists collaborating with these centers. The unit most closely linked to the department is the Center for Adaptive Systems (CAS). Students interested in neural network hardware work with researchers in CNS, the College of Engineering, and at MIT Lincoln Laboratory. Other research resources include distinguished research groups in neurophysiology, neuroanatomy, and neuropharmacology at the Medical School and the Charles River campus; in sensory robotics, biomedical engineering, computer and systems engineering, and neuromuscular research within the Engineering School; in dynamical systems within the Mathematics Department; in theoretical computer science within the Computer Science Department; and in biophysics and computational physics within the Physics Department. In addition to its basic research and training program, the Department conducts a seminar series, as well as conferences and symposia, which bring together distinguished scientists from both experimental and theoretical disciplines. 1993-94 CAS MEMBERS and CNS FACULTY: Jacob Beck Daniel H. Bullock Gail A. Carpenter Chan-Sup Chung Michael A. Cohen H. Steven Colburn Paolo Gaudiano Stephen Grossberg Frank H. Guenther Thomas G. Kincaid Nancy Kopell Ennio Mingolla Heiko Neumann Alan Peters Adam Reeves Eric L. Schwartz Allen Waxman Jeremy Wolfe ------------------------------ Subject: New Book Announcement From: Gary Tajchman Date: Thu, 07 Oct 93 17:32:57 -0800 I thought this might be of interest to folks on connectionists. Kluwer Academic has just published a book by H. Bourlard and N. Morgan called ``CONNECTIONIST SPEECH RECOGNITION: A Hybrid Approach''. In the words of the back cover description, this book ``describes the theory and implementation of a method to incorporate neural network approaches into state-of-the-art continuous speech recognition systems based on Hidden Markov Models (HMMs) to improve their performance.'' The book is based on work done in a 5-year trans-Atlantic collaboration between Bourlard and Morgan, and puts together in one place what is otherwise scattered over a bunch of conference and journal papers. If you would like more information please send email to N. Morgan at morgan@icsi.berkeley.edu, or reply to this message. Gary Tajchman tajchman@icsi.berkeley.edu International Computer Science Institute TEL: (510)642-4274 1947 Center St., Suite 600 FAX: (510)643-7684 Berkeley, CA ------------------------------ Subject: Combinatorial optimization using neural nets? From: ARDESHIR Date: Fri, 08 Oct 93 13:26:00 +0000 Hello, I have recently been studying solving combinatorial optimization using neural nets, in particular graph partitioning and graph matching. I would be grateful if anyone could recommend me some (or most) of papers and publications regarding the use of neural nets in graph problems. Yours Sincerely A. Bahreininejad email civab@vaxa.hw.ac.uk ....... for outside U.K. civab@uk.ac.hw.vaxa ....... for within U.K. P.S. If possible please provide me with the address(s) for FTP. ------------------------------ Subject: Request for Information - handwriting verification From: B.FBORTO%CEFET.ANPR.BR@UICVM.UIC.EDU Date: Fri, 08 Oct 93 15:43:00 -0300 Neuron Digesters, This is a plea for information. I'm a Ms. student at the Federal Center of Technology(CEFET), Curitiba-PR, Brazil. My intersts are neural networks and thier application to handwritten signature verification. I wonder if any one of you can send me references or exchange information with me on this subject. Thanks. Nabeel Murshed ------------------------------ Subject: position @ U. Michigan From: Colleen Seifert Date: Mon, 11 Oct 93 10:53:17 -0600 Position in Cognitive Psychology University of Michigan The University of Michigan Department of Psychology invites applications for a tenure-track position in the area of Cognition, beginning September 1, 1994. The appointment will most likely be made at the Assistant Professor level, but it may be possible at other ranks. We seek candidates with primary interests and technical skills in cognitive psychology. Our primary goal is to hire an outstanding cognitive psychologist, and thus we will look at candidates with any specific research interest. We have a preference for candidates interested in higher mental processes or for candidates with computational modeling skills (including connectionism) or an interest in cognitive neuroscience. Responsibilities include graduate and undergraduate teaching, as well as research and research supervision. Send curriculum vitae, letters of reference,copies of recent publications, and a statement of research and teaching interests no later than January 7, 1994 to: Gary Olson, Chair, Cognitive Processes Search Committee, Department of Psychology, University of Michigan, 330 Packard Road, Ann Arbor, Michigan 48104. The University of Michigan is an Equal Opportunity/Affirmative Action employer. ------------------------------ Subject: Motif version of hyperplane animator available From: Lorien Pratt Date: Mon, 11 Oct 93 11:46:41 -0700 ----------------------------------- Announcing the availability of an X-based neural network hyperplane animator Version 1.01 October 10, 1993 ----------------------------------- Lori Pratt and Steve Nicodemus Department of Mathematical and Computer Sciences Colorado School of Mines Golden, CO 80401 USA lpratt@mines.colorado.edu Understanding neural network behavior is an important goal of many research efforts. Although several projects have sought to translate neural network weights into symbolic representations, an alternative approach is to understand trained networks graphically. Many researchers have used a display of hyperplanes defined by the weights in a single layer of a back-propagation neural network. In contrast to some network visualization schemes, this approach shows both the training data and the network parameters that attempt to fit those data. At NIPS 1990, Paul Munro presented a video which demonstrated the dynamics of hyperplanes as a network changes during learning. The program displayed ran on a Stardent 4000 graphics engine, and was implemented at Siemens. At NIPS 1991, we demonstrated an X-based hyperplane animator, similar in appearance to Paul Munro's, but with extensions to allow for interaction during training. The user may speed up, slow down, or freeze animation, and set various other parameters. Also, since it runs under X, this program should be more generally usable. An openwindows version of this program was made available to the public domain in 1992. This announcement describes a version of the hyperplane animator that has been rewritten for Motif. It was developed on an IBM RS/6000 platform, and so is written in ANSI C. The remainder of this message contains more details of the hyperplane animator and ftp information. 1. What is the Hyperplane Animator? The Hyperplane Animator is a program that allows easy graphical display of Back-Propagation training data and weights in a Back-Propagation neural network [Rumelhart, 1987]. It implements only some of the functionality that we eventually hope to include. In particular, it only animates hyperplanes representing input-to-hidden weights. Back-Propagation neural networks consist of processing nodes interconnected by adjustable, or ``weighted'' connections. Neural network learning consists of adjusting weights in response to a set of training data. The weights w1,w2,...wn on the connections into any one node can be viewed as the coefficients in the equation of an (n-1)-dimensional plane. Each non-input node in the neural net is thus associated with its own plane. These hyperplanes are graphically portrayed by the hyperplane animator. On the same graph it also shows the training data. 2. Why use it? As learning progresses and the weights in a neural net alter, hyperplane positions move. At the end of the training they are in positions that roughly divide training data into partitions, each of which contains only one class of data. Observations of hyperplane movement can yield valuable insights into neural network learning. 3. Platform information The Animator was developed using the Motif toolkit on an IBM RS6000 with X-Windows. It appears to be stable on this platform, and has not been compiled on other platforms. However, Dec5000 and SGI workstations have been succesfully used as graphics servers for the animator. How to install the hyperplane animator: You will need a machine which has X-Windows, and the Motif libraries. 1. copy the file animator.tar.Z to your machine via ftp as follows: ftp mines.colorado.edu (138.67.1.3) Name: anonymous Password: (your ID) ftp> cd pub/software/hyperplane-animator ftp> binary ftp> get hyperplane-animator.tar ftp> quit 2. Extract files from hyperplane-animator.tar with: tar -xvf hyperplane-animator.tar 3. Read the README file there. It includes information about compiling. It also includes instructions for running a number of demonstration networks that are included with this distribution. DISCLAIMER: This software is distributed as shareware, and comes with no warantees whatsoever for the software itself or systems that include it. The authors deny responsibility for errors, misstatements, or omissions that may or may not lead to injuries or loss of property. This code may not be sold for profit, but may be distributed and copied free of charge as long as the credits window, copyright statement in the program, and this notice remain intact. ------------------------------ Subject: Neural nets and channel decoding/equalization? From: "P. BALAY (CCETT/SRL/DCS) (Tel 99124225)" Date: 13 Oct 93 09:36:32 -0100 I'm preparing a Ph.d. concerning the use of neural networks in digital communications ( especially equalization and channel decoding ). I would be happy if someone has informations related to this type of research. thanks to mail me your answers at : balay@ccett.fr ------------------------------ Subject: Assistant Professor opening From: Robbie Jacobs Date: Wed, 13 Oct 93 14:20:16 -0500 Dear Colleague: The attached advertisement describes an Assistant Professor position for a Behavioral Neuroscientist in the Department of Psychology at the University of Rochester. It is anticipated that this position will be available July 1, 1994 or 1995. We hope to attract a scientist who will interact productively with existing faculty whose research interests are in developmental psychobiology and/or learning and memory. Also, the candidate would be part of a university-wide community of over 60 neuroscientists contributing to inter-departmental graduate and undergraduate programs in neuroscience. I would appreciate if you could bring this position to the attention of suitable candidates. Sincerely, Ernie Nordeen Associate Professor of Psychology and of Neurobiology & Anatomy BEHAVIORAL NEUROSCIENTIST. The Department of Psychology at the University of Rochester anticipates an Assistant Professor position in neuroscience. We are particularly interested in persons investigating relationships between brain and behavioral plasticity at the level of neural systems. Individuals whose research emphasizes either i) neural mechanisms of learning and memory, or ii) development/reorganization in perceptual or motor systems are especially encouraged to apply, but persons interested in related areas of behavioral neuroscience will also be considered. The successful candidate is expected to develop an active research program, and participate in teaching within graduate and undergraduate programs in neuroscience. Applicants should submit curriculum vitae, a brief statement of research interests, and three letters of reference by 1 February 1994 to: Chair, Biopsychology Search Committee, Dept. of Psychology, University of Rochester, Rochester, NY, 14627. An Affirmative Action/Equal Opportunity Employer. ------------------------------ Subject: POSITION AVAILABLE From: "Frances T. Perillo" Date: 14 Oct 93 09:21:13 -0500 Cognitive Position: The Department of Psychology at Dartmouth College has a junior, tenure-track position available in the area of Cognition -- broadly construed to include any area of research within Cognitive Psychology, Cognitive Science, and/or Cognitive Neuroscience. Candidates must be able to establish a strong research program and must have a commitment to undergraduate and graduate instruction. Supervision of both graduate and undergraduate research will be expected. Please send a letter of application, vita and three letters of recommendation to: Chair, Cognitive Search Committee, Department of Psychology, 6207 Gerry Hall, Dartmouth College, Hanover, NH 03755-3459. Review of applications will begin on February 15, 1994. Dartmouth College is an equal opportunity employer with an affirmative action plan. Women and members of minority groups are encouraged to apply. ------------------------------ Subject: Short-term position (London) From: annette@cdu.ucl.ac.uk (Annette Karmiloff-Smith) Date: Thu, 14 Oct 93 15:09:23 +0000 can an ad like the following go on the neuron-digest? if so, please post: Short term non-clinical scientific post is available at the CDU for 3 years to work on the biological basis of cognitive development alongside Dr Mark Johnson. The successful candidate should have a PhD and preferably have experience in the use of event-related potentials as applied to developmental processes, though this is not essential. Experience of running ERP studies with infants would be particularly desirable. Candidates should also have an interest in the brain basis of cognition. Further details of the post may be obtained from Dr Johnson by E-mail: mark@cdu.ucl.ac.uk The salary is on the non-clinical scientific scale 15,563 - 24,736 per annum plus 2,134 London Weighting. Applications should be made in writing enclosing CV and names of three referees to The Director, Professor John Morton, at 4, Taviton Street, London WC1H OBT, UK (Fax 071-383-0398, E-mail: j.morton@uk.ac.ucl) by 17 Nov 1993. The Medical Research Council is an equal opportunities employer. MRC Cognitive Development Unit, London. ------------------------------ Subject: Neurosciences Internet Resource Guide From: sherylc@umich.edu (Sheryl Cormicle) Organization: University of Michigan Date: 14 Oct 93 16:49:10 +0000 ======================================================== The Neurosciences: An Internet Resource Guide ======================================================== WHAT WE!RE DOING: A Neurosciences Internet Resources Guide (NIRG) is currently under construction at the University of Michigan!s School of Information and Library Studies. The NIRG project proposes to bring together related neuroscience resources in biology, biotechnology, and the bioelectrical and biomedical fields. Resources will include electronic journals, newsletters, databases, image and video databases, documents, reports, gopher sites, usenet and listserv groups, among others. In order to provide the most useful guide possible, we welcome resource suggestions from members of the Internet community and specifically those with some expertise in the neurosciences. If you know of a unique, relevant, or useful resource, we!d love to hear from you. Even if you don!t know of a resource, we!d like to know what you think of the value of such a guide. Your participation is crucial to the success of this project. WHY WE!RE DOING IT: Several excellent guides to Biology resources on the Internet exist (such as Una R. Smith!s). This project will provide not only a guide with a tighter focus on neuroscience resources, but also a guide with a broader, more interdisciplinary approach. WHO WE ARE: The NIRG project is directed by Sheryl Cormicle and Steve Bonario, two Master-level students in the School of Information and Library Studies at the University of Michigan. The resource guide is a term project and will be made available to the Internet community in December of this year. We hope to make the guide available in several formats, including a simple text file, a gopher document, and an HTML document. CONTACT: If you wish to suggest a resource, please send mail to nirg@umich.edu You may also write to us directly: Sheryl Cormicle: sherylc@umich.edu or Steve Bonario: sbonario@umich.edu ------------------------------ Subject: SUMMARY: use of ANN in QSAR From: Bernard Budde Date: Tue, 19 Oct 93 10:25:00 +0000 # Hello, # # In Neuron Digest 12(1)1993 (8 sept) I asked for information on the use of # neural nets in QSAR studies (Quantitative Structure-Activity Relationships), # responding to Dr. Manallack. # Two people responded, Dr. Manallack and Mr. Tetko. They sent me interesting # papers and titles, *thanks*! I'll list their addresses and the titles below. # From below the sea-level, Bernard Budde # # One title I'd like to add: # Tabak, H.H., R. Govind (1993). Prediction of biodegradation kinetics using a # nonlinear group contribution method. Environ Toxicol Chem 12:251-260. # #---------------------------------------------------------------------------- # Igor V. Tetko # tetko%bioorganic.kiev.ua@relay.ussr.eu.net # Ph.D. Student, working with application of NN in QSAR. # # Andrea, T.A., and H. Kalayeh, "Application of Neural Networks in QSAR of # Dihydrofolate Reductase Inhibitors", J. Med. Chem.,1991, 34, 2824-2836 # Aoyama, T., Y. Suzuki, H. Ichikawa, "Neural Networks Applied to QSAR", # J. Med. Chem., 1990,33,2583-2590 # Aoyama, Y., Y. Suzaki, H. Ichikawa, "Neural Networks Applied to SAR", # J. Med. Chem. 1990, 38, 905-908 # Chastrette, M., JY de Saint Laumer, "Structure-odor relationships using neural # networks", Eur. J. Med. Chem., 1991, 26, 829-833. # Erb, R.J., "Intoduction to Backpropagation Neural Network Computation", # Pharmaceutical Research, 1993, 10, 165-170 # Liu, Q., S. Hirono, I. Moriguchi, "Application of Functional-Link Net # in QSAR. 2. QSAR for Activity Data Given by Ratings", Quant. Struct.-Act. # Relat., 1992, 11, 318-324 # Liu, Q., S. Hirono, I. Moriguchi, "Comparison of the Functional-Link Net and # the Generalized Delta Rule Net in QSAR", Chem. Pharm. Bull. 1992, 40, # 2962-2969. # Tetko, I., A. Luik, G. Poda, "Application of Neural Networks in SAR of # a Small Number of Molecules", J. Med. Chem., 1993, 36, 811-814. # #---------------------------------------------------------------------------- - # David Manallack # manallack_d%frgen.dnet@smithkline.com # SmithKline Beecham Pharmaceuticals, Hertz, UK. # ....NN's designed to perform data analysis and the # associated dangers of chance effects.... # # Livingstone, D.J., D.T. Manallack (1993). Statistics using neural networks: # chance effects. J. Med. Chem. 36(9):1295-1297. # Livingstone, D.J. and D.W. Salt (1992). Regression analysis for QSAR using # neural networks. BioMed. Chem. Lett. 2(3):213-218. # Manallack, D.T. and D.J. Livingstone (1992). Artificial neural networks: # application and chance effects for QSAR data analysis. Med. Chem. Res. # 2:181-190. # Salt, D.W., N. Yildiz, D. Livingstone, C.J. Tinsley (1992). The use of # artificial neural networks in QSAR. Pestic. Sci. 36:161-170. #---------------------------------------------------------------------------- - ------------------------------ Subject: "On-line" journals and papers? From: "Frank Zanotto" <"zanotto frank"@a1.snofs1.sno.MTS.dec.com> Date: Tue, 19 Oct 93 04:55:01 -0800 [[ Editor's Note: Of course, tehre the the Ohio State Neuroprose archive which is frequently advertised on this Digest. Are there other central repositories, available via ftp, gopher or wais? -PM ]] Hello RE ascii journals and/or papers Can anyone provide a pointer to an archive of journals and/or papers on neural networks stored in ascii format ? Reason, I will be accessing the information and storing the information on a DIGITAL VMS system. Many thanks. Regards Frank Zanotto ------------------------------ End of Neuron Digest [Volume 12 Issue 8] **************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 3702; Thu, 28 Oct 93 16:18:49 EDT Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Thu, 28 Oct 93 16:18:36 EDT Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA29441; Thu, 28 Oct 93 16:16:52 -0400 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA18321; Thu, 28 Oct 93 15:03:28 EDT Posted-Date: Thu, 28 Oct 93 15:02:33 -0400 From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #9 (conferences & CFP) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Thu, 28 Oct 93 15:02:33 -0400 Message-Id: <18272.751834953@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Thursday, 28 Oct 1993 Volume 12 : Issue 9 Today's Topics: SCS CFP ISIKNH'94 ESANN'94: European Symposium on ANNs EuroCOLT Artificial Life Workshop Announcement Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: SCS CFP From: CELLIER@cadmus.ece.arizona.edu Date: Tue, 19 Oct 93 20:24:14 -0800 ANNOUNCEMENT AND CALL FOR PAPERS The Society for Computer Simulation International (SCS) presents: 1994 INTERNATIONAL CONFERENCE ON QUALITATIVE INFORMATION, FUZZY TECHNIQUES, AND NEURAL NETWORKS IN SIMULATION June 1-3 1994, Barcelona, Spain Part of the 1994 SCS European Multiconference on Computer Simulation The 1994 International Conference on Qualitative Information, Fuzzy Techniques, and Neural Networks in Simulation brings together research paper presentations, panel sessions, tutorials, workshops, seminars, industrial applications, and software demonstrations that make use of qualitative information of some sort or other in models of dynamic systems for the purpose of simulation. Research papers are welcome in the following categories of presentation sessions. . Tutorials . Time-dependent Expert Systems . Panel Discussions . Qualitative Data Bases . Software and Tools for Simulation . Theory . Associative Memory . Common Sense Reasoning for Simulation about Dynamical Processes . Fuzzy Information Models . Inductive Reasoning . Fuzzification and Defuzzification about Dynamical Processes . Treatment of Uncertainty . Knowledge-based Reasoning in Dynamical Systems about Dynamical Processes . Treatment of Incomplete Knowledge . Naive Physics about Dynamical Systems . Neural Networks . Assumptions and Belief Systems for Dynamical Processes . Models of Human Reasoning Processes . Fault Monitoring and Diagnosis In recent years, more and more papers were published that combine several of the known qualitative knowledge representation techniques in a combined algorithm. For example, a number of papers were recently published on fuzzy neural networks. We therefore believe that it makes sense to bring the experts on and advocates of the various techniques together in one conference. DEADLINES: . November 30, 1993 Extended Abstracts or full paper drafts due. . February 14, 1994 Notification of acceptance/rejection to authors. . March 14, 1994 Camera Ready Copies due. Please, send four copies of extended abstracts (from four to six pages in typing excluding figures and tables) or drafts of full papers (a maximum of twelve pages in typing) to: Prof. Dr. Antoni Guasch General Program Chairperson of ESM'94 Dept. ESAII, ETSEIB Universitat Politecnica de Catalunya Diagonal 647, 2 planta 08028 BARCELONA Spain Phone: +34(3)401-6544 FAX: +34(3)401-6600 EMail: Guasch@ESAII.UPC.ES Please, add a cover letter stating your name, affiliation, mailing address, telephone number, FAX number, and EMail address. Indicate clearly that your paper is being submitted to ICQFN'94. Each manuscript will be reviewed by at least two members of the International Program Committee of ICQFN'94. Conference Chairperson of ICQFN'94 Program Chairperson of ICQFN'94 - ---------------------------------- ------------------------------- Francois E. Cellier, Ph.D. Dr. Joseph Aguilar Martin Associate Professor Grup SAC, Dept. ESAII Dept. of Electr. and Computer Engr. ETSEIT-UPC University of Arizona Colom, 11 TUCSON, AZ 85721 08222 TERRASSA, Catalunya U.S.A. Spain Phone: +1(602)621-6192 Phone: +34(3)739-8144 FAX: +1(602)621-8076 FAX: +34(3)739-8101 EMail: Cellier@ECE.Arizona.Edu EMail: Aguilar@ESAII.UPC.ES International Program Committee of ICQFN'94 ------------------------------------------- Robert Babuska Delft University of Technology Netherlands Silvano Colombano NASA Ames Research Center U.S.A. Massimo de Gregorio Institute of Cibernetics Italy Ken Forbus Northwestern University U.S.A. Ken-ichi Funahashi University of Aizu Japan Fernando Gomide Univeristy of Campinas Brazil Madan Gupta University of Saskatchewan Canada Katalin Hangos Hungarian Academy of Sciences Hungary Yumi Iwasaki Stanford University U.S.A. Mohamed Jamshidi University of New Mexico U.S.A. Eugene Kerckhoffs Delft University of Technology Netherlands Bart Kosko University of Southern California U.S.A. Granino Korn G.A. & T.M. Korn Associates U.S.A. Roy Leitch Heriot-Watt University Edinburgh United Kingdom Derek Linkens University of Sheffield United Kingdom Hiroshi Narazaki Kobe Steel Ltd. Japan Kevin Passino Ohio State University U.S.A. Witold Pedrycz University of Manitoba Canada Ethan Scarl The Boeing Company U.S.A. Georgios Stavrakakis Technical University of Crete Greece Jan-Erik Stromberg Linkoeping University Sweden Hideo Tanaka University of Osaka Japan Jan Top Energy Research Foundation Netherlands Louise Trave-Massuyes L.A.A.S. / C.N.R.S. France Enric Trillas Technical University of Madrid Spain Ghislain Vansteenkiste University of Ghent Belgium Llorenc Valverde University of the Balearic Islands Spain Tu Van Le University of Camberra Australia Takeshi Yamakawa Kyushu Institute of Technology Japan Lotfi Zadeh University of California Berkeley U.S.A. Hans-Juergen Zimmermann R.W.T.H. Aachen Germany =====virtual scissors========================================================== ICQFN'94 -- INTERNATIONAL CONFERENCE ON QUALITATIVE INFORMATION, FUZZY TECHNIQUES, AND NEURAL NETWORKS IN SIMULATION **************************************************************** [ ] I plan to submit a paper [ ] I wish to receive the Preliminary Program Name: _____________________________________ Title: ____________________________________ Affiliation: ______________________________ Address: __________________________________ ___________________________________________ ___________________________________________ Phone Number: _____________________________ FAX Number: _______________________________ E_Mail Address: ___________________________ If you wish to receive further information about ICQFN'94, please, fill in the above form and return it to: Cellier@ECE.Arizona.Edu ------------------------------ Subject: ISIKNH'94 From: "Li-Min Fu" Date: Fri, 13 Aug 93 11:04:26 -0500 CALL FOR PAPERS International Symposium on Integrating Knowledge and Neural Heuristics (ISIKNH'94) Sponsored by University of Florida, and AAAI, in cooperation with IEEE Neural Network Council, and Florida AI Research Society. Time: May 9-10 1994; Place: Pensacola Beach, Florida, USA. A large amount of research has been directed toward integrating neural and symbolic methods in recent years. Especially, the integration of knowledge-based principles and neural heuristics holds great promise in solving complicated real-world problems. This symposium will provide a forum for discussions and exchanges of ideas in this area. The objective of this symposium is to bring together researchers from a variety of fields who are interested in applying neural network techniques to augmenting existing knowledge or proceeding the other way around, and especially, who have demonstrated that this combined approach outperforms either approach alone. We welcome views of this problem from areas such as constraint-(knowledge-) based learning and reasoning, connectionist symbol processing, hybrid intelligent systems, fuzzy neural networks, multi-strategic learning, and cognitive science. Examples of specific research include but are not limited to: 1. How do we build a neural network based on {\em a priori} knowledge (i.e., a knowledge-based neural network)? 2. How do neural heuristics improve the current model for a particular problem (e.g., classification, planning, signal processing, and control)? 3. How does knowledge in conjunction with neural heuristics contribute to machine learning? 4. What is the emergent behavior of a hybrid system? 5. What are the fundamental issues behind the combined approach? Program activities include keynote speeches, paper presentation, panel discussions, and tutorials. ***** Scholarships are offered to assist students in attending the symposium. Students who wish to apply for a scholarship should send their resumes and a statement of how their researches are related to the symposium. ***** Symposium Chairs: LiMin Fu, University of Florida, USA. Chris Lacher, Florida State University, USA. Program Committee: Jim Anderson, Brown University, USA Michael Arbib, University of Southern California, USA Fevzi Belli, The University of Paderborn, Germany Jim Bezdek, University of West Florida, USA Bir Bhanu, University of California, USA Su-Shing Chen, National Science Foundation, USA Tharam Dillon, La Trobe University, Australia Douglas Fisher, Vanderbilt University, USA Paul Fishwick, University of Florida, USA Stephen Gallant, HNC Inc., USA Yoichi Hayashi, Ibaraki University, Japan Susan I. Hruska, Florida State University, USA Michel Klefstad-Sillonville CCETT, France David C. Kuncicky, Florida State University, USA Joseph Principe, University of Florida, USA Sylvian Ray, University of Illinois, USA Armando F. Rocha, University of Estadual, Brasil Ron Sun, University of Alabama, USA Keynote Speaker: Balakrishnan Chandrasekaran, Ohio-State University Schedule for Contributed Papers - ---------------------------------------------------------------------- Paper Summaries Due: December 15, 1993 Notice of Acceptance Due: February 1, 1994 Camera Ready Papers Due: March 1, 1994 Extended paper summaries should be limited to four pages (single or double-spaced) and should include the title, names of the authors, the network and mailing addresses and telephone number of the corresponding author. Important research results should be attached. Send four copies of extended paper summaries to LiMin Fu Dept. of CIS, 301 CSE University of Florida Gainesville, FL 32611 USA (e-mail: fu@cis.ufl.edu; phone: 904-392-1485). Students' applications for a scholarship should also be sent to the above address. General information and registration materials can be obtained by writing to Rob Francis ISIKNH'94 DOCE/Conferences 2209 NW 13th Street, STE E University of Florida Gainesville, FL 32609-3476 USA (Phone: 904-392-1701; fax: 904-392-6950) - --------------------------------------------------------------------- - --------------------------------------------------------------------- If you intend to attend the symposium, you may submit the following information by returning this message: NAME: _______________________________________ ADDRESS: ____________________________________ _____________________________________________ _____________________________________________ _____________________________________________ _____________________________________________ PHONE: ______________________________________ FAX: ________________________________________ E-MAIL: _____________________________________ - --------------------------------------------------------------------- ------------------------------ Subject: ESANN'94: European Symposium on ANNs From: esann@dice.ucl.ac.be Date: Wed, 01 Sep 93 15:16:42 +0100 Dear Moderator, Could you please include the following call for papers for the second European Symposium on Artificial Neural Networks, in the next issue of Neuron-Digest? Thank you in advance. Sincerely yours, Michel Verleysen - --------------------------- Cut here ------------------------------- ____________________________________________________________________ ____________________________________________________________________ European Symposium on Artificial Neural Networks Brussels - April 20-21-22, 1994 First announcement and call for papers ____________________________________________________________________ ____________________________________________________________________ - ----------------------- Scope of the conference - ----------------------- ESANN'93 was held in Brussels, in April 1993. It gathered more than 80 scientists, from about 15 countries, who wanted to learn more about the last developments in the theory of neural networks. The European Symposium on Artificial Neural Networks will be organized for the second time in April 1994, and, as in 1993, will focus on the fundamental aspects of the artificial neural network research. Today, thousands of researchers work in this field; they try to develop new algorithms, to mimic properties found in natural networks, to develop parallel computers based on these properties, and to use artificial neural networks in new application areas. But the field is new, and has expanded drastically in about ten years; this lead to a lack of theoretical works in the subject, and also to a lack of comparisons between new methods and more classical ones. The purpose of ESANN is to cover the theoretical and fundamental aspects of neural networks; the symposium is intended to give to the participants an up-to-date and comprehensive view of these aspects, by the presentation of new results and new developments, of tutorial papers covering the relations between neural networks and classical methods of computing, and also by round tables confronting views of specialists and non-specialists of the field. The program committee of ESANN'94 welcomes papers in the following aspects of artificial neural networks : . theory . models and architectures . mathematics . learning algorithms . biologically plausible artificial networks . neurobiological systems . adaptive behavior . signal processing . statistics . self-organization . evolutive learning Accepted papers will cover new results in one or several of these aspects or will be of tutorial nature. Papers insisting on the relations between artificial neural networks and classical methods of information processing, signal processing or statistics are encouraged. - ---------------------- Call for contributions - ---------------------- Prospective authors are invited to submit six originals of their contribution before November 26, 1993. Working language of the conference (including proceedings) is English. Papers should not exceed six A4 pages (including figures and references). Printing area will be 12.2 x 19.3 cm (centered on the A4 page); left, right, top and bottom margins will thus respectively be 4.4, 4.4, 5.2 and 5.2 cm. 10-point Times font will be used for the main text; headings will be in bold characters, (but not underlined), and will be separated from the main text by two blank lines before and one after. Manuscripts prepared in this format will be reproduced in the same size in the book. The first page will begin by a heading, indented 1cm left and right with regards to the main text (the heading will thus have left and right margins of 5.4 cm). The heading will contain the title (Times 14 point, bold, centered), one blank line, the author(s) name(s) (Times 10 point, centered), one blank line, the affiliation (Times 9 point, centered), one blank line, and the abstract (Times 9 point, justified, beginning by the word "Abstract." in bold face). Originals of the figures will be pasted into the manuscript and centered between the margins. The lettering of the figures should be in 10-point Times font size. Figures should be numbered. The legends also should be centered between the margins and be written in 9-point Times font size as follows: The pages of the manuscript will not be numbered (numbering decided by the editor). A separate page (not included in the manuscript) will indicate: . the title of the manuscript . author(s) name(s) . the complete address (including phone & fax numbers and E-mail) of the corresponding author . a list of five keywords or topics On the same page, the authors will copy and sign the following paragraph: "in case of acceptation of the paper for presentation at ESANN 94: - - at least one of the authors will register to the conference and will present the paper - - the author(s) give their rights up over the paper to the organizers of ESANN 94, for the proceedings and any publication that could directly be generated by the conference - - if the paper does not match the format requirements for the proceedings, the author(s) will send a revised version within two weeks of the notification of acceptation." Contributions must be sent to the conference secretariat. Prospective authors are invited to ask examples of camera-ready contributions by writing to the same address. - ------------- Local details - ------------- The conference will be held in the center of Brussels (Belgium). Close to most great European cities, Brussels is exceptionally well served by closely-knit motorway and railway systems, and an international airport. Besides an artistic and cultural center of attraction, Brussels is also renowned for its countless typical cafis, form the most unassuming to the most prestigious. Belgian food is typical and famous, and the night life in Brussels is considerable. - --------- Deadlines - --------- Submission of papers November 26, 1993 Notification of acceptance January 17, 1994 Symposium April 20-22, 1994 - ------ Grants - ------ A limited number of grants (registration fees and economic accommodation) will be given to young scientists coming from the European Community (Human Capital and Mobility program, European Community - DG XII). Grants will also probably be available for scientists from Central and Eastern European countries. Please write to the conference secretariat to get an application form for these grants. - ---------------------- Conference secretariat - ---------------------- Dr. Michel Verleysen D Facto Conference Services 45 rue Masui B - 1210 Brussels (Belgium) phone: + 32 2 245 43 63 Fax: + 32 2 245 46 94 E-mail: esann@dice.ucl.ac.be - ---------- Reply form - ---------- If your contact address is incomplete or has been changed recently, or if you know a colleague who might be interested in ESANN'94, please send this form, with your or his/her name and address, to the conference secretariat: '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' Name: ..................................................... First Name: ............................................... University or Company: .................................... ............................................................ Address: .................................................. ............................................................ ............................................................ ZIP: ...................................................... Town: ..................................................... Country: .................................................. Tel: ...................................................... Fax: ...................................................... E-mail: ................................................... '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''' - ------------------ Steering committee - ------------------ Frangois Blayo EERIE, Nnmes (F) Marie Cottrell Univ. Paris I (F) Nicolas Franceschini CNRS Marseille (F) Jeanny Hirault INPG Grenoble (F) Michel Verleysen UCL Louvain-la-Neuve (B) - -------------------- Scientific committee - -------------------- Luis Almeida * INESC - Lisboa (P) Jorge Barreto UCL Louvain-en-Woluwe (B) Hervi Bourlard L. & H. Speech Products (B) Joan Cabestany Univ. Polit. de Catalunya (E) Dave Cliff University of Sussex (UK) Pierre Comon Thomson-Sintra Sophia (F) Holk Cruse Universitdt Bielefeld (D) Dante Del Corso Politecnico di Torino (I) Marc Duranton Philips / LEP (F) Jean-Claude Fort Universiti Nancy I (F) Karl Goser Universitdt Dortmund (D) Martin Hasler EPFL Lausanne (CH) Philip Husbands University of Sussex (UK) Christian Jutten INPG Grenoble (F) Petr Lansky Acad. of Science of the Czech Rep. (CZ) Jean-Didier Legat UCL Louvain-la-Neuve (B) Jean Arcady Meyer * Ecole Normale Supirieure - Paris (F) Erkki Oja Helsinky University of Technology (SF) Guy Orban KU Leuven (B) Gilles Paghs * Universiti Paris I (F) Alberto Prieto Universitad de Granada (E) Pierre Puget LETI Grenoble (F) Ronan Reilly University College Dublin (IRE) Tamas Roska Hungarian Academy of Science (H) Jean-Pierre Rospars INRA Versailles (F) Andri Roucoux UCL Louvain-en-Woluwe (B) John Stonham Brunel University (UK) Lionel Tarassenko University of Oxford (UK) John Taylor King3s College London (UK) Vincent Torre Universita di Genova (I) Claude Touzet EERIE Nnmes (F) Joos Vandewalle KUL Leuven (B) Eric Vittoz CSEM Neuchbtel (CH) Christian Wellekens Eurecom Sophia-Antipolis (F) (* tentatively) - --------------------------- Cut here ------------------------------- _____________________________ Michel Verleysen D facto conference services 45 rue Masui 1210 Brussels Belgium tel: +32 2 245 43 63 fax: +32 2 245 46 94 E-mail: esann@dice.ucl.ac.be _____________________________ ------------------------------ Subject: EuroCOLT From: John Shawe-Taylor Date: Wed, 08 Sep 93 12:36:10 +0000 The Institute of Mathematics and its Applications Euro-COLT '93 FIRST EUROPEAN CONFERENCE ON COMPUTATIONAL LEARNING THEORY 20th-22nd December, 1993 Royal Holloway, University of London Call for Participation and List of Accepted Papers ================================================== The inaugural IMA European conference on Computational Learning Theory will be held 20--22 December at Royal Holloway, University of London. The conference covers areas related to the analysis of learning algorithms and the theory of machine learning, including artificial and biological neural networks, robotics, pattern recognition, inductive inference, information theory and cryptology, decision theory and Bayesian/MDL estimation. Invited Talks ============= As part of our program, we are pleased to announce three invited talks by Wolfgang Maass (Graz), Lenny Pitt (Illinois) and Les Valiant (Harvard). Euroconference Scholarships =========================== The conference has also received scientific approval from the European Commission to be supported under the Human Capital and Mobility Euroconferences initiative. This means that there will be a number of scholarships available to cover the expenses of young researchers attending the conference. The scholarships are open to citizens of European Community Member States or people who have been residing and working in research for at least one year in one of the European States. Please indicate on the return form below if you would like to receive more information about these scholarships. List of Accepted Papers ======================= R. Gavalda, On the Power of Equivalence Queries. M. Golea and M. Marchand, On Learning Simple Deterministic and Probabilistic Neural Concepts. P. Fischer, Learning Unions of Convex Polygons. S. Polt, Improved Sample Size Bounds for PAB-Decisions. F. Ameur, P. Fischer, K-U. Hoffgen and F.M. Heide, Trial and Error: A New Approach to Space-Bounded Learning. A. Anoulova and S. Polt, Using Kullback-Leibler Divergence in Learning Theory. J. Viksna, Weak Inductive Inference. H.U. Simon, Bounds on the Number of Examples Needed for Learning Functions. R. Wiehagen, C.H. Smith and T. Zeugmann, Classification of Predicates and Languages. K. Pillaipakkamnatt and V. Raghavan, Read-twice DNF Formulas can be learned Properly. J. Kivinen, H. Mannila and E. Ukkonen, Learning Rules with Local Exceptions. J. Kivinen and M. Warmuth, Using Experts for Predicting Continuous Outcomes. M. Anthony and J. Shawe-Taylor, Valid Generalisation of Functions from Close Approximation on a Sample. N. Cesa-Bianchi, Y. Freund, D.P. Helmbold and M. Warmuth, On-line Prediction and Conversion Strategies. A. Saoudi and T. Yokomori, Learning Local and Recognisable omega-Languages and Monadic Logic Programs. K. Yamanishi, Learning Non-Parametric Smooth Rules by Stochastic Rules with Finite Partitioning. H. Wiklicky, The Neural Network Loading Problem is Undecidable. T. Hegedus, Learning Zero-one Threshold Functions and Hamming Balls over the Boolean Domain. Members of the Organising Committee =================================== John Shawe-Taylor (Chair: Royal Holloway, University of London, email to eurocolt@dcs.rhbnc.ac.uk), Martin Anthony (LSE, University of London), Jose Balcazar (Barcelona), Norman Biggs (LSE, University of London), Mark Jerrum (Edinburgh), Hans-Ulrich Simon (University of Dortmund), Paul Vitanyi (CWI Amsterdam). Location ======== The conference will be held at Royal Holloway, University of London in Egham, Surrey, conveniently located 15 minutes' drive from London Heathrow airport. Accommodation will be either in the chateau-like original Founders Building or in en-suite rooms in a new block also on the Royal Holloway campus. Accommodation fees range from 110 pounds to 150 pounds (inclusive of bed, breakfast and dinner), while the conference fee is 195 pounds (inclusive of lunch, coffee and tea; 140 pounds for students with reductions available for IMA members; late application fee of 15 pounds if application received after 16th November). - -------------------------------------------------------------------- To: The Conference Officer, The Institute of Mathematics and its Applications, 16 Nelson Street, Southend-on-Sea, Essex SS1 1EF. Telephone: (0702) 354020. Fax: (0702) 354111 Euro-COLT '93 20th--22nd December, 1993 Royal Holloway, University of London Please send me an application for the above conference TITLE ............ MALE/FEMALE ..... SURNAME .............................. FORENAMES .................. ADDRESS FOR CORRESPONDENCE ........................................... ...................................................................... TELEPHONE NO ........................ FAX NO ......................... Please send me information about the Euroconference scholarships ........ (Please tick if necessary) ------------------------------ Subject: Artificial Life Workshop Announcement From: arantza@cogs.susx.ac.uk (Arantza Etxeberria) Date: Tue, 26 Oct 93 09:50:12 +0000 "Artificial Life: a Bridge towards a New Artificial Intelligence" Palacio de Miramar (San Sebastian, Spain) December 10th and 11th, 1993 Workshop organised by the Department of Logic and Philosophy of Science, Faculty of Computer Science & Institute of Logic, Cognition, Language and Information (ILCLI) of the University of the Basque Country (UPV/EHU) Directors: Alvaro Moreno (University of the Basque Country) Francisco Varela (CREA, Paris) This Workshop will be dedicated to a discussion of the impact of works on Artifical Life in Artificial Intelligence. Artificial Intelligence (AI) has traditionally attempted to study cognition as an abstract phenomenon using formal tools, that is, as a disembodied process that can be grasped through formal operations, independent of the nature of the system that displays it. Cognition appears as an abstract representation of reality. After several decades of research in this direction the field has encountered several problems that have taken it to what many consider a "dead end": difficulties in understanding autonomous and situated agencies, in relating behaviour in a real environment, in studying the nature and evolution of perception, in finding a pragmatic approach to explain the operation of most cognitive capacities such as natural language, context dependent action, etc. Artificial Life (AL) has recently emerged as a confluence of very different fields trying to study different kinds of phenomena of living systems using computers as a modelling tool, and, at last, trying to artificially (re)produce a living or a population of living systems in real or computational media. Examples of such phenomena are prebiotic systems and their evolution, growth and development, self-reproduction, adaptation to an environment, evolution of ecosystems and natural selection, formation of sensory-motor loops, autonomous robots. Thus, AL is having an impact on classic life sciences but also on the conceptual foundations of AI and new methodological ideas to Cognitive Science. The aim of this Workshop is to focus on the last two points and to evaluate the influence of the methodology and concepts appearing in AL for the development of a new ideas about cognition that could eventually give birth to a new Artificial Intelligence. Some of the sessions consist on presentations and replies on a specific subject by invited speakers while others will be debates open to all participants in the workshop. MAIN TOPICS: * A review of the problems of FUNCTIONALISM in Cognitive Science and Artificial Life. * Modelling Neural Networks through Genetic Algorithms. * Autonomy and Robotics. * Consequences of the crisis of the representational models of cognition. * Minimal Living System and Minimal Cognitive System * Artificial Life systems as problem solvers * Emergence and evolution in artificial systems SPEAKERS S. Harnad P. Husbands G. Kampis B. Mac Mullin D. Parisi T. Smithers E. Thompson F. Varela Further Information: Alvaro Moreno Apartado 1249 20080 DONOSTIA SPAIN E. Mail: biziart@si.ehu.es Fax: 34 43 311056 Phone: 34 43 310600 (extension 221) 34 43 218000 (extension 209) ------------------------------ End of Neuron Digest [Volume 12 Issue 9] **************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 3315; Mon, 08 Nov 93 04:16:43 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Mon, 08 Nov 93 04:16:40 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA17802; Mon, 8 Nov 93 01:34:26 -0500 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA17174; Mon, 8 Nov 93 00:12:18 EST Posted-Date: Mon, 08 Nov 93 00:10:14 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #10 (conferences & CFP) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Mon, 08 Nov 93 00:10:14 EST Message-Id: <17158.752735414@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Monday, 8 Nov 1993 Volume 12 : Issue 10 Today's Topics: CFP - World Congress on Medical Physics and Biomedical Engineering IEEE NNSP'94 Call For Papers Call For Papers Pan Pacific Conf on Brain Electric Topography - 1st announcement ISIKNH '94 Call for papers, NeuroControl book Call for Papers of WWW URGENT: DEADLINE CHANGE FOR WORLD CONGRESS Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: CFP - World Congress on Medical Physics and Biomedical Engineering From: MACHADO%RIOSC.BITNET@VTBIT.CC.VT.EDU Date: Thu, 16 Sep 93 15:42:18 -0300 WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING --- RIO'94 --- --------------------------------------------------------- Symposium on Hybrid Intelligent Systems: neural networks, fuzzy logic, genetic algorithms, expert systems --------------------------------------------------------- CALL FOR PAPERS Rio de Janeiro will host next year in the period August 21-26 the X International Conference on Medical Physics and the XVII International Conference on Medical and Biological Engineering. The above Symposium is one of the planned activities at these conferences. Its purpose is to bring researchers together to discuss new hybrid structures for developing intelligent systems for decision making support in Health Sciences. Neural networks, Fuzzy Logic, Genetic algorithms, Evolutionary Computation, etc. are examples of new tools available for the development of intelligent systems. A new generation of systems combining these techniques is emerging as a competitive solution for decision making problems in Health Sciences. The symposium is being planned to combine the following activities to provide a forum to describe these ideas: - Tutorial on the subject: "Hybrid Intelligent Systems for Health Sciences" by Armando F. Rocha, author of the book Neural Nets - A Theory for Brains and Machines - Two invited speeches: - "Connectionist Expert Systems" by Ricardo J. Machado - another to be chosen - Two paper sessions Authors are invited to submit paper abstracts to this symposium respecting the deadline of December 20, 1993. They are also invited to propose a theme and speaker for the second invited speech. The authors' kit including the camera-ready form for abstracts can be ordered to Ms. Solange Oliveira Secretariat - 1994 World Congress on Medical Physics and Biomedical Engineering Congrex do Brasil Rua do Ouvidor, 60/414 20040-030 - Rio de Janeiro - RJ - Brazil Phone: +55-21-224-6080 Fax: +55-21-231-1492 Submit the abstract form and three copies to Ricardo Jose Machado IBM - Rio Scientific Center Av. Presidente Vargas, 824 20071-0001, Rio de Janeiro - RJ - Brazil Phone: +55-21-271-2306 Fax: +55-21-271-2797 E-mail: machado@riosc.bitnet ------------------------------ Subject: IEEE NNSP'94 Call For Papers From: hwang@pierce.ee.washington.edu (Jenq-Neng Hwang) Date: Thu, 30 Sep 93 13:01:00 -0800 1994 IEEE WORKSHOP ON NEURAL NETWORKS FOR SIGNAL PROCESSING September 6-8, 1994 Ermioni, Greece Sponsored by the IEEE Signal Processing Society and Co-Sponsored by Intracom S.A. Greece (In cooperation with the IEEE Neural Networks Council) GENERAL CHAIR John Vlontzos INTRACOM S.A. Peania, Attica, Greece jvlo@intranet.gr PROGRAM CHAIR Jenq-Neng Hwang University of Washington Seattle, Washington, USA hwang@ee.washington.edu PROCEEDINGS CHAIR Elizabeth J. Wilson Raytheon Co. Marlborough, MA, USA bwilson@sud2.ed.ray.com FINANCE CHAIR Demetris Kalivas INTRACOM S.A. Peania, Attica, Greece dkal@intranet.gr PROGRAM COMMITTEE Joshua Alspector (Bellcore, USA) Les Atlas (U. of Washington, USA) Charles Bachmann (Naval Research Lab. USA) David Burr (Bellcore, USA) Rama Chellappa (U. of Maryland, USA) Lee Giles (NEC Research, USA) Steve J. Hanson (Siemens Corp. Research, USA) Yu-Hen Hu (U. of Wisconsin, USA) Jenq-Neng Hwang (U. of Washington, USA) Bing-Huang Juang (AT&T Bell Lab., USA) Shigeru Katagiri (ATR Japan) Sun-Yuan Kung (Princeton U., USA) Gary M. Kuhn (Siemens Corp. Research, USA) Stephanos Kollias (National Tech. U. of Athens, Greece) Richard Lippmann (MIT Lincoln Lab., USA) Fleming Lure (Kaelum Research Co., USA) John Makhoul (BBN Lab., USA) Richard Mammone (Rutgers U., USA) Elias Manolakos (Northeastern U., USA) Nahesan Niranjan (Cambridge U., UK) Tomaso Poggio (MIT, USA) Jose Principe (U. of Florida, USA) Wojtek Przytula (Hughes Research Lab., USA) Ulrich Ramacher (Siemens Corp., Germany) Bhaskar D. Rao (UC San Diego, USA) Andreas Stafylopatis (National Tech. U. of Athens, Greece) Noboru Sonehara (NTT Co., Japan) John Sorensen (Tech. U. of Denmark, Denmark) Yoh'ichi Tohkura (ATR, Japan) John Vlontzos (Intracom S.A., Greece) Raymond Watrous (Siemens Corp. Research, USA) Christian Wellekens (Eurecom, France) Yiu-Fai Issac Wong (Lawrence Livermore Lab., USA) CALL FOR PAPERS The fourth of a series of IEEE workshops on Neural Networks for Signal Processing will be held at the Porto Hydra Resort Hotel, Ermioni, Greece, in September of 1994. Papers are solicited for, but not limited to, the following topics: APPLICATIONS: Image, speech, communications, sensors, medical, adaptive filtering, OCR, and other general signal processing and pattern recognition topics. THEORIES: Generalization and regularization, system identification, parameter estimation, new network architectures, new learning algorithms, and wavelet in NNs. IMPLEMENTATIONS: Software, digital, analog, and hybrid technologies. Prospective authors are invited to submit 4 copies of extended summaries of no more than 6 pages. The top of the first page of the summary should include a title, authors' names, affiliations, address, telephone and fax numbers and email address if any. Camera-ready full papers of accepted proposals will be published in a hard-bound volume by IEEE and distributed at the workshop. Due to workshop facility constraints, attendance will be limited with priority given to those who submit written technical contributions. For further information, please contact Mrs. Myra Sourlou at the NNSP'94 Athens office, (Tel.) +30 1 6644961, (Fax) +30 1 6644379, (e-mail) msou@intranet.gr. Please send paper submissions to: Prof. Jenq-Neng Hwang IEEE NNSP'94 Department of Electrical Engineering, FT-10 University of Washington, Seattle, WA 98195, USA Phone: (206) 685-1603, Fax: (206) 543-3842 SCHEDULE Submission of extended summary: February 15 Notification of acceptance: April 19 Submission of photo-ready paper: June 1 Advanced registration, before: June 1 ------------------------------ Subject: Call For Papers From: ai706@freenet.carleton.ca (Ian Malone) Date: Wed, 06 Oct 93 12:29:05 -0500 **************************** CALL FOR PAPERS ***************** The Bellwood Research Center Journal of Artificial Neural Systems 1994 Edition The Journal of Artificial Neural Systems is intended to provide a forum for theoretical and practical advances in the field of neural networks. Submissions should consist of full-length original papers describing theoretical and/or practical research. Interested parties should submit three copies of their original work to ... Sandra Shoals Managing Editor Bellwood Research Center 17 Briston Private Ottawa, Ontario Canada, K1G 5R5 For submission, catalogue and order information, please address your inquiries to ... Information Bellwood Research Center 17 Briston Private Ottawa, Ontario Canada, K1G 5R5 Regards, Ian Malone President Bellwood Research Center ------------------------------ Subject: Pan Pacific Conf on Brain Electric Topography - 1st announcement From: Alex A Sergejew Date: Sat, 28 Aug 93 20:56:14 +0900 FIRST ANNOUNCEMENT PAN PACIFIC CONFERENCE ON BRAIN ELECTRIC TOPOGRAPHY February 10 - 12, 1994 SYDNEY, AUSTRALIA INVITATION Brain electric and magnetic topography is an exciting emerging area which draws on the disciplines of neurophysiology, physics, signal processing, computing and cognitive neuroscience. This conference will offer a forum for the presentation of recent findings. The program will include an outstanding series of plenary lectures, as well as platform and poster presentations by active participants in the field. The conference includes two major plenary sessions. In the Plenary Session entitled "Brain Activity Topography and Cognitive Processes," the keynote speakers include Frank Duffy (Boston), Alan Gevins (San Francisco), Steven Hillyard (La Jolla), Yoshihiko Koga (Tokyo) and Paul Nunez (New Orleans). Keynote speakers for the Plenary Session entitled "Brain Rhythmic Activity and States of Consciousness," will include Walter Freeman (Berkeley), Rodolfo Llinas (New York), Shigeaki Matsuoka (Kitakyushu) and Yuzo Yamaguchi (Osaka). The plenary sessions will provide a forum for discussion of some of the most recent developments of analysis and models of electrical brain function, and findings of brain topography and cognitive processes. This conference is aimed at harnessing multidisciplinary participation and will be of interest to those working in the areas of clinical neurophysiology, cognitive neuroscience, biological signal processing, neurophysiology, neurology, neuropsychology and neuropsychiatry. CALL FOR PAPERS Papers are invited for platform and poster presentation. Platform presentations will be allocated 20 minutes (15 mins for presentation and 5 mins for questions). Abstracts of no more than 300 words are invited. The deadline for receipt of abstracts is November 10th, 1993, while notification of acceptance of abstracts will be sent on December 10th, 1993 The abstract can be sent by mail, Fax or Email to: PAN PACIFIC CONFERENCE ON BRAIN ELECTRIC TOPOGRAPHY C/- Cognitive Neuroscience Unit Westmead Hospital, Hawkesbury Road Westmead NSW 2145, Sydney AUSTRALIA Fax : +61 (2) 635 7734 Tel : +61 (2) 633 6688 Email : pan@brain.physics.swin.oz.au Authors may be invited to provide full manuscripts for publication of the proceedings in CD-ROM and book form. All authors wishing to have their papers included must supply a full manuscript at the time of the conference. GENERAL INFORMATION: Date: February 10 - 12, 1994 Venue: The conference will be held at the Hotel Intercontinental on Sydney Harbour. Climate: February is summertime in Australia and the average maximum day-time temperature in Sydney is 26 degC (78 degF). Social Programme: There will be a conference dinner on a yacht sailing Sydney Harbour on February 11th, 1994. Cost $A65 per person. Hotel Accommodation: Hotels listed offer a range of accommodation at special conference rates. Please quote the name of the conference when arranging your booking. Scientific Committee: Organising Committee: Prof Richard Silberstein, Melbourne (Chairman) E Gordon (Chairman) A/Prof Helen Beh, Sydney R Silberstein Dr Evian Gordon, Sydney J Restom Dr Shigeaki Matsuoka, Kitakyushu Dr Patricia Michie, Sydney Dr Ken Nagata, Akita Dr Alex Sergejew, Melbourne A/Prof James Wright, Auckland REGISTRATION: Name(Prof/Dr/Ms/Mr):__________________________________________________ Address:______________________________________________________________ ______________________________________________________________________ ______________________________________________________________________ Telephone: ______________________________ (include country/area code) Fax:______________________________ E Mail______________________________ On or before November 10th, 1993 $A380.00 After November 10th, 1993 $A400.00 Students before November 10th,1993 $A250.00 Conference Harbour Cruise Dinner $A65.00 per person number of people _____ Method of Payment: Cheque _ MasterCard _ VISA _ BankCard _ To be completed by credit card users only: Card Number _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Expiration Date __________________________ Signature __________________________ (Signature not required if registering by E-mail) Date __________________________ Cheques should be payable to "Pan Pacific Conference" (Address below) SOME SUGGESTIONS FOR HOTEL ACCOMODATION Special conference rates apply. Quote the name of the conference when booking. Prices are per double room per night SYDNEY RENAISSANCE HOTEL***** Guaranteed harbour view. 10 min walk under cover. $A170.00 30 Pitt St, Sydney NSW 2000, Australia. Ph: +61 (2) 259 7000 Fax +61 (2) 252 1999 HOTEL INTERCONTINENTAL SYDNEY***** Harbour view $A205.00 City View $A165.00 117 Macquarie Street, Sydney NSW 2000, Australia. Ph: +61 (2) 230 0200 Fax: +61 (2) 240 1240 OLD SYDNEY PARKROYAL**** 10 min walk. $A190.00 including breakfast 55 George St, Sydney NSW 2000, Australia. Ph: +61 (2) 252 0524 Fax: (2) +61 251 2093 RAMADA GRAND HOTEL, BONDI BEACH**** Complementary shuttlebus service. $A130 - $A170 including breakfast Beach Rd, Bondi Beach NSW 2026, Australia. Ph: +61 (2) 365 5666 Fax: +61 (2) 3655 330 HOTEL CRANBROOK INTERNATIONAL*** Older style, budget type accomodation overlooking Rose Bay. Free shuttlebus service and airport transfers. $A80.00 including breakfast 601 New South Head Rd, Rose Bay NSW 2020, Australia. Ph: +61 (2) 252 0524 Fax: +61 (2) 251 2093 Post registration details with your cheque to: PAN PACIFIC CONFERENCE ON ELECTRIC BRAIN TOPOGRAPHY C/- Cognitive Neuroscience Unit Westmead Hospital, Hawkesbury Road Westmead NSW 2145, Sydney AUSTRALIA ------------------------------ From: Ron Sun Date: Tue, 10 Aug 93 16:33:56 -0600 CALL FOR PAPERS International Symposium on Integrating Knowledge and Neural Heuristics (ISIKNH'94) Sponsored by University of Florida, and AAAI, in cooperation with IEEE Neural Network Council, and Florida AI Research Society. Time: May 9-10 1994; Place: Pensacola Beach, Florida, USA. A large amount of research has been directed toward integrating neural and symbolic methods in recent years. Especially, the integration of knowledge-based principles and neural heuristics holds great promise in solving complicated real-world problems. This symposium will provide a forum for discussions and exchanges of ideas in this area. The objective of this symposium is to bring together researchers from a variety of fields who are interested in applying neural network techniques to augmenting existing knowledge or proceeding the other way around, and especially, who have demonstrated that this combined approach outperforms either approach alone. We welcome views of this problem from areas such as constraint-(knowledge-) based learning and reasoning, connectionist symbol processing, hybrid intelligent systems, fuzzy neural networks, multi-strategic learning, and cognitive science. Examples of specific research include but are not limited to: 1. How do we build a neural network based on {\em a priori} knowledge (i.e., a knowledge-based neural network)? 2. How do neural heuristics improve the current model for a particular problem (e.g., classification, planning, signal processing, and control)? 3. How does knowledge in conjunction with neural heuristics contribute to machine learning? 4. What is the emergent behavior of a hybrid system? 5. What are the fundamental issues behind the combined approach? Program activities include keynote speeches, paper presentation, and panel discussions. ***** Scholarships are offered to assist students in attending the symposium. Students who wish to apply for a scholarship should send their resumes and a statement of how their researches are related to the symposium. ***** Symposium Chairs: LiMin Fu, University of Florida, USA. Chris Lacher, Florida State University, USA. Program Committee: Jim Anderson, Brown University, USA Michael Arbib, University of Southern California, USA Fevzi Belli, The University of Paderborn, Germany Jim Bezdek, University of West Florida, USA Bir Bhanu, University of California, USA Su-Shing Chen, National Science Foundation, USA Tharam Dillon, La Trobe University, Australia Douglas Fisher, Vanderbilt University, USA Paul Fishwick, University of Florida, USA Stephen Gallant, HNC Inc., USA Yoichi Hayashi, Ibaraki University, Japan Susan I. Hruska, Florida State University, USA Michel Klefstad-Sillonville CCETT, France David C. Kuncicky, Florida State University, USA Joseph Principe, University of Florida, USA Sylvian Ray, University of Illinois, USA Armando F. Rocha, University of Estadual, Brasil Ron Sun, University of Alabama, USA Keynote Speaker: Balakrishnan Chandrasekaran, Ohio-State University Schedule for Contributed Papers - ---------------------------------------------------------------------- Paper Summaries Due: December 15, 1993 Notice of Acceptance Due: February 1, 1994 Camera Ready Papers Due: March 1, 1994 Extended paper summaries should be limited to four pages (single or double-spaced) and should include the title, names of the authors, the network and mailing addresses and telephone number of the corresponding author. Important research results should be attached. Send four copies of extended paper summaries to LiMin Fu Dept. of CIS, 301 CSE University of Florida Gainesville, FL 32611 USA (e-mail: fu@cis.ufl.edu; phone: 904-392-1485). Students' applications for a scholarship should also be sent to the above address. General information and registration materials can be obtained by writing to Rob Francis ISIKNH'94 DOCE/Conferences 2209 NW 13th Street, STE E University of Florida Gainesville, FL 32609-3476 USA (Phone: 904-392-1701; fax: 904-392-6950) - --------------------------------------------------------------------- - --------------------------------------------------------------------- If you intend to attend the symposium, you may submit the following information by returning this message: NAME: _______________________________________ ADDRESS: ____________________________________ _____________________________________________ _____________________________________________ _____________________________________________ _____________________________________________ PHONE: ______________________________________ FAX: ________________________________________ E-MAIL: _____________________________________ - --------------------------------------------------------------------- ------------------------------ Subject: Call for papers, NeuroControl book From: "David L. Elliott" Date: Wed, 11 Aug 93 17:52:44 -0500 PROGRESS IN NEURAL NETWORKS series Editor O. M. Omidvar Special Volume: NEURAL NETWORKS FOR CONTROL Editor: David L. Elliott CALL FOR PAPERS Original manuscripts describing recent progress in neural networks research directly applicable to Control or making use of modern control theory. Manuscripts may be survey or tutorial in nature. Suggested topics for this book are: %New directions in neurocontrol %Adaptive control %Biological control architectures %Mathematical foundations of control %Model-based control with learning capability %Natural neural control systems %Neurocontrol hardware research %Optimal control and incremental dynamic programming %Process control and manufacturing %Reinforcement-Learning Control %Sensor fusion and vector quantization %Validating neural control systems The papers will be refereed and uniformly typeset. Ablex and the Progress Series editors invite you to submit an abstract, extended summary or manuscript proposal, directly to the Special Volume Editor: Dr. David L. Elliott, Institute for Systems Research University of Maryland, College Park, MD 20742 Tel: (301)405-1241 FAX (301)314-9920 Email: DELLIOTT@SRC.UMD.EDU or to the Series Editor: Dr. Omid M. Omidvar, Computer Science Dept., University of the District of Columbia, Washington DC 20008 Tel: (202)282-7345 FAX: (202)282-3677 Email: OOMIDVAR@UDCVAX.BITNET The Publisher is Ablex Publishing Corporation, Norwood, NJ ------------------------------ Subject: Call for Papers of WWW From: Takeshi Furuhashi Date: Mon, 23 Aug 93 11:22:41 +0200 CALL FOR PAPERS TENTATIVE 1994 IEEE/Nagoya University World Wisemen/women Workshop(WWW) ON FUZZY LOGIC AND NEURAL NETWORKS/GENETIC ALGORITHMS - -Architecture and Applications for Knowledge Acquisition/Adaptation- August 9 and 10, 1994 Nagoya University Symposion Chikusa-ku, Nagoya, JAPAN Sponsored by Nagoya University Co-sponsored by IEEE Industrial Electronics Society Technically Co-sponsored by IEEE Neural Network Council IEEE Robotics and Automation Society International Fuzzy Systems Association Japan Society for Fuzzy Theory and Systems North American Fuzzy Information Processing Society Society of Instrument and Control Engineers Robotics Society of Japan There are growing interests in combination technologies of fuzzy logic and neural networks, fuzzy logic and genetic algorithm for acquisition of experts' knowledge, modeling of nonlinear systems, realizing adaptive systems. The goal of the 1994 IEEE/Nagoya University WWW on Fuzzy Logic and Neural Networks/Genetic Algorithm is to give its attendees opportunities to exchange information and ideas on various aspects of the Combination Technologies and to stimulate and inspire pioneering works in this area. To keep the quality of these workshop high, only a limited number of people are accepted as participants of the workshops. The papers presented at the workshop will be edited and published from the Oxford University Press. TOPICS: Combination of Fuzzy Logic and Neural Networks, Combination of Fuzzy Logic and Genetic Algorithm, Learning and Adaptation, Knowledge Acquisition, Modeling, Human Machine Interface IMPORTANT DATES: Submission of Abstracts of Papers : April 31, 1994 Acceptance Notification : May 31, 1994 Final Manuscript : July 1, 1994 A partial or full assistance of travel expenses for speakers of excellent papers will be provided by the WWW. The candidates should apply as soon as possible, preferably by Jan. 30, '94 All correspondence and submission of papers should be sent to Takeshi Furuhashi, General Chair Dept. of Information Electronics, Nagoya University Furo-cho, Chikusa-ku, Nagoya 464-01, JAPAN TEL: +81-52-781-5111 ext.2792 FAX: +81-52-781-9263 E mail: furu@uchikawa.nuem.nagoya-u.ac.jp IEEE/Nagoya University WWW: IEEE/Nagoya University WWW(World Wisemen/women Workshop) is a series of workshops sponsored by Nagoya University and co-sponsored by IEEE Industrial Electronics Society. City of Naoya, located two hours away from Tokyo, has many electro-mechanical industries in its surroundings such as Mitsubishi, TOYOTA, and their allied companies. Nagoya is a mecca of robotics industries, machine industries and aerospace industries in Japan. The series of workshops will give its attendees opportunities to exchange information on advanced sciences and technologies and to visit industries and research institutes in this area. *This workshop will be held just after the 3rd International Conference on Fuzzy Logic, Neural Nets and Soft Computing(IIZUKA'94) from Aug. 1 to 7, '94. WORKSHOP ORGANIZATION Honorary Chair: Tetsuo Fujimoto (Dean, School of Engineering, Nagoya University) General Chair: Takeshi Furuhashi (Nagoya University) Advisory Committee: Chair: Toshio Fukuda (Nagoya University) Fumio Harashima (University of Tokyo) Yoshiki Uchikawa (Nagoya University) Takeshi Yamakawa (Kyushu Institute of Technology) Steering Committee: H.Berenji (NASA Ames Research Center) W.Eppler (University of Karlsruhe) I.Hayashi (Hannan University) Y.Hayashi (Ibaraki University) H.Ichihashi (Osaka Prefectural University) A.Imura (Laboratory for International Fuzzy Engineering) M.Jordan (Massachusetts Institute of Technology) C.-C.Jou (National Chiao Tung Universtiy) E.Khan (National Semiconductor) R.Langari (Texas A & M University) H.Takagi (Matsushita Electric Industrial Co., Ltd.) K.Tanaka (Kanazawa University) M.Valenzuela-Rendon (Institute Tecnologico y de Estudios Superiores de Monterrey) L.-X.Wang (University of California Berkeley) T.Yamaguchi (Utsunomiya University) J.Yen (Texas A & M Universtiy) ------------------------------ Subject: URGENT: DEADLINE CHANGE FOR WORLD CONGRESS From: mwitten@chpc.utexas.edu Date: Wed, 03 Nov 93 11:37:13 -0600 UPDATE ON DEADLINES FIRST WORLD CONGRESS ON COMPUTATIONAL MEDICINE, PUBLIC HEALTH, AND BIOTECHNOLOGY 24-28 April 1994 Hyatt Regency Hotel Austin, Texas - ----- (Feel Free To Cross Post This Announcement) ---- Due to a confusion in the electronic distribution of the congress announcement and deadlines, as well as incorrect deadlines appearing in a number of society newsletters and journals, we are extending the abstract submission deadline for this congress to 31 December 1993. We apologize to those who were confused over the differing deadline announcements and hope that this change will allow everyone to participate. For congress details: To contact the congress organizers for any reason use any of the following pathways: ELECTRONIC MAIL - compmed94@chpc.utexas.edu FAX (USA) - (512) 471-2445 PHONE (USA) - (512) 471-2472 GOPHER: log into the University of Texas System-CHPC select the Computational Medicine and Allied Health menu choice ANONYMOUS FTP: ftp.chpc.utexas.edu cd /pub/compmed94 (all documents and forms are stored here) POSTAL: Compmed 1994 University of Texas System CHPC Balcones Research Center 10100 Burnet Road, 1.154CMS Austin, Texas 78758-4497 SUBMISSION PROCEDURES: Authors must submit 5 copies of a single-page 50-100 word abstract clearly discussing the topic of their presentation. In addition, authors must clearly state their choice of poster, contributed paper, tutorial, exhibit, focused workshop or birds of a feather group along with a discussion of their presentation. Abstracts will be published as part of the preliminary conference material. To notify the congress organizing committee that you would like to participate and to be put on the congress mailing list, please fill out and return the form that follows this announcement. You may use any of the contact methods above. If you wish to organize a contributed paper session, tutorial session, focused workshop, or birds of a feather group, please contact the conference director at mwitten@chpc.utexas.edu . The abstract may be submitted electronically to compmed94@chpc.utexas.edu or by mail or fax. There is no official format. If you need further details, please contact me. Matthew Witten Congress Chair mwitten@chpc.utexas.edu ------------------------------ End of Neuron Digest [Volume 12 Issue 10] ***************************************** Received: from BUACCA by BUACCA.BU.EDU (Mailer R2.08 PTF009) with BSMTP id 3207; Mon, 08 Nov 93 01:52:00 EST Received: from noc4.dccs.upenn.edu by BUACCA.BU.EDU (IBM VM SMTP R1.2.1) with TCP; Mon, 08 Nov 93 01:51:57 EST Received: from CATTELL.PSYCH.UPENN.EDU by noc4.dccs.upenn.edu id AA17798; Mon, 8 Nov 93 01:34:23 -0500 Return-Path: Received: from LOCALHOST by cattell.psych.upenn.edu id AA17235; Mon, 8 Nov 93 00:19:37 EST Posted-Date: Mon, 08 Nov 93 00:17:21 EST From: "Neuron-Digest Moderator" To: Neuron-Distribution:; Subject: Neuron Digest V12 #11 (proceedings, jobs, protein structures) Reply-To: "Neuron-Request" X-Errors-To: "Neuron-Request" Organization: University of Pennsylvania Date: Mon, 08 Nov 93 00:17:21 EST Message-Id: <17199.752735841@cattell.psych.upenn.edu> Sender: marvit@cattell.psych.upenn.edu Neuron Digest Monday, 8 Nov 1993 Volume 12 : Issue 11 Today's Topics: Proceedings available Possible position in Finance UK PhD connectionist studentship available Courses Summary of ANNs and secondary protein structures pt 1 Summary of ANNs and secondary protein structures pt 2 Send submissions, questions, address maintenance, and requests for old issues to "neuron-request@psych.upenn.edu". The ftp archives are available from psych.upenn.edu (130.91.68.31). Back issues requested by mail will eventually be sent, but may take a while. ---------------------------------------------------------------------- Subject: Proceedings available From: Joan Cabestany Date: Tue, 19 Oct 93 09:59:16 -0300 Proceedings available _____________________ After the last edition of IWANN'93 (International Workshop on Artificial Neural Networks) held in Spain (Sitges) during June 1993, some books with the Proceedings are still available at special price. Reference: New Trends in Neural Computation (IWANN'93 Proceedings) J.Mira, J.Cabestany, A.Prieto editors Lecture Notes in Computer Science number 686 SPRINGER VERLAG 1993 Price: 9000 pesetas (spanish currency) Method of payment: VISA Card number _________________________ Expiration date _______________ Name of card holder ______________________________________________________ Date ____________ Signature ___________________________________ Send this form to ULTRAMAR CONGRESS Att. Mr. J.Balada Diputacio, 238, 3 08007 BARCELONA Spain Fax + 34.3.412.03.19 ------------------------------ Subject: Possible position in Finance From: William Fulkerson Date: Tue, 19 Oct 93 09:11:36 -0600 A position is anticipated in the Finance department, Deere & Company, Moline Illinois. The purpose of this message is to survey the interest in such a position and to determine the skills available among the likely candidates. The successful candidate will have a theoretical background and 1 to 3 years professional experience in applications of neural networks, evolutionary computing, and/or fuzzy logic. Although professional experience in applications is required, it need not be in finance. Applicants with advanced degrees in engineering, statistics, or computer science are preferred. The applicant must want to apply the above technologies to financial problems and be willing to pursue these financial applications for an extended period of years. The initial assignment will be to develop trading systems for foreign exchange and commercial paper. Future assignments will be within the Finance department and may include pension fund management. If your interest, application experience, training, and skills match this description, please send a short description of your qualifications via e-mail to: fulkersw@smtplink.de.deere.com. Receipt of your e-mail will be acknowledged. ------------------------------ Subject: UK PhD connectionist studentship available From: simon@dcs.ex.ac.uk Date: Tue, 19 Oct 93 16:23:58 +0000 PhD Studentship -- full-time, SERC funded The Department of Computer Science at the University of Exeter has a SERC quota award available for a suitable candidate to pursue fulltime research for a PhD degree. Applicants should have a good first degree in Computer Science (or a closely related dsicipline) with a sound knowledge of neural computing and/or software engineering. The successful applicant will join a research group exploring the use of neural computing as a novel software technology. Potential projects range from formal analysis of network implementations of well-defined problems to development of visualization techniques to facilitate efficient network training as well as to provide support for a conceptual understanding of neural net implementations. Application forms and further information can be obtained from: Lyn Shackleton, Department of Computer Science, University of Exeter, Exeter EX4 4PT. email: lyn@dcs.exeter.ac.uk; tel: 0392 264066; FAX: 0392 264067 Informal enquiries and requests for further details of the research group's activities may be made to: Professor Derek Partridge, Department of Computer Science, University of Exeter, Exeter EX4 4PT, email: derek@dcs.exeter.ac.uk tel: 0392 264061, FAX: 0392 264067, The closing date for applications is November 19th, 1993. Interviews will be conducted in the week beginning November 22, 1993. It is expected that the award will be taken up in January 1994. - -- Simon Klyne Connection Science Laboratory email: simon@dcs.exeter.ac.uk Department of Computer Science phone: (+44) 392 264066 University of Exeter EX4 4QE, UK. ------------------------------ Subject: Courses From: RAUL HECTOR GALLARD Date: Wed, 20 Oct 93 10:21:27 -0300 Dear colleague: This e-mail is to ask for assistance to rise up the background of lecturers and researchers, in specific areas. We belong to the Department of Informatics of the Universidad Nacional de San Luis, Argentina, where we have a Computer Science carreer. Besides that, we conform a research group working in the area of Intelligent Distributed Systems. In our project we are looking for applications of Genetic Algorithms (GAs) and Neural Networks (NNs), to insert intelligence into Computer Systems. A PhD Programme was launched in the areas of GAs and NNs for further study and research in these topics. Our Faculty is looking for Professors and/or Researchers who whish to come to San Luis to give a short postgraduate course (40 to 80 hours) on GAs and NNs. The stay is stimated in three weeks, and the courses could be given anytime before October 1994. Travelling and reasonable living expenses will be covered by the Faculty. We need to have as soon as possible a brief Curriculum Vitae and course content (current trends are advisable) of the possible candidates. If you are prepared to give any of those courses please contact me via e-mail or to the fax number 54 652 30224. Otherwise, if you know another colleague willing to come please forward this message to him. Thanking you in advance. Prof. Raul Gallard Proyecto 338403 Universidad Nacional de San Luis Ej. de los Andes 950 5700 - san Luis Argentina e-mail : gallardr@unslfm.edu.ar Raul Hector Gallard gallardr@unslfm.edu.ar ------------------------------ Subject: Summary of ANNs and secondary protein structures pt 1 From: pb@cse.iitb.ernet.in (Pushpak Bhattacharya) Date: Thu, 21 Oct 93 12:43:21 +0700 Here are some of the responses we received to our query on prediction of secondary structure of protein. Thanks very much to all the respondents. Pushpak Bhattacharyya pb@cse.iitb.ernet.in Susmita De susmita@cse.iitb.ernet.in >From ajay@cgl.ucsf.edu Hi, Saw your note in neuron-digest. i am very surprised that you have problems running this. i have never had any problems running the protein structure prediction problem (in fact this is my research area) using a BP though not the PDP software. i guess that the problem is with the code or the specification of the various bells and whistles with the code. Saturation problems occur if you use LARGE learning rates. Before you go around messing with the code i would suggest using a very small learning rate say 0.001, no momentum and try both per-pattern and batch modes. i have found quicker convergence with per-pattern updates. Hope this helps. ---ajay >From batra@zelia.Colorado.EDU Fri Oct 15 20:05:07 1993 Here are some refs (if you dont have them already) Qian, N. and Sejnowski, T.J. (1988). Predicting the Secondary Structure of Globular Proteins Using Neural Network Models. {\em Journal of Molecular Biology,} 202:865-884. Holley, L.H. and Karplus, M. (1989). Protein Secondary Structure Prediction with a Neural Network. {\em Proceedings of the National Academy fo Science USA,} 86:152-156. Threre are many references on this topic but these might be the better ones. - --SAjeev. >From batra@zelia.Colorado.EDU Fri Oct 15 20:05:05 1993 Hi, I'm also working on Protein Secondary Structure Prediction... So, I might be able to help. I'm not exactly sure what your problem is... However, first you should try the problem without a hidden layer in the network. Qian and Sejnowski do very well w/o the hidden layer. Having 20 neurons is too many. You also mention that you have 65 input units??? Hmmm... I think if you use 21xN, it might work better. N is the size of your sliding window (usually N= 13). Hope I've helped a little. If you need more info or anything, please do not hesitate to email me. BTW hope this gets thru to india. Regards, Sajeev Batra batra@boulder.colorado.edu >From ajay@cgl.ucsf.edu Tue Oct 12 13:28:57 1993 Hi, Saw your note in neuron-digest. i am very surprised that you have problems running this. i have never had any problems running the protein structure prediction problem (in fact this is my research area) using a BP though not the PDP software. i guess that the problem is with the code or the specification of the various bells and whistles with the code. Saturation problems occur if you use LARGE learning rates. Before you go around messing with the code i would suggest using a very small learning rate say 0.001, no momentum and try both per-pattern and batch modes. i have found quicker convergence with per-pattern updates. Hope this helps. ---ajay >From reinagel@husc.harvard.edu Tue Oct 12 13:31:47 1993 Hi. You posted in the NN digest about a problem you're having with bp solving protein folding, which you attribute to the size of your data set. As it happens, I also once (long ago) built a bp net to predict protein folding, (actually millions of people have done it, it seems). So I am interested in your problem. I train nets on data sets of 20,000 patterns (40 inputs, 1 output, and 5 to 20 hidden U's) all the time and I have NEVER seen the behaviour you describe. I don't think your problem is due to too big a data set, but due to a bad representation of the data or to bad net architecture. Have you tested that bp in your hands behaves normally for, eg., XOR? What happens if you train on just 100 patterns? Same thing? You say your net has 65 binary inputs--how is the primary sequence coded??! The three outputs are? Alpha, beta, other? 3-D spatial coordinates? Phi, Psi, & something else? I am having trouble imagining how a sufficient amount of primary sequence could ever be represented in 65 bits, nor where you can find 8,000 independent sequences of known structure, unless it is that you're using way to few aa's, or way too little information about each aa, to specify structure. I'm asking because it's possible that your input codes carry NO information about your output codes, and even BP cannot extract information that is not there. In such a case, the net will train to learn intrinsic regularities in the output patterns independent of the inputs--eg. if the outputs are so coded that the unit's target is 0 most of the time, the net will learn that just guessing 0 minimizes its MSE. If you are convinced that the information is there to be found, try: 1. incremental training (start with a few patterns and add more and more) 2. heirarchy (make a net to remap inputs to an intermediary code and then another net to go from that code to the final one) if you know already of an intermediary representation that makes sense 3. try fewer hidden units or local connectivity of hidden units, at least in the early part of training. Good luck. Pam Reinagel Harvard University ------------------------------ Subject: Summary of ANNs and secondary protein structures pt 2 From: pb@cse.iitb.ernet.in (Pushpak Bhattacharya) Date: Thu, 21 Oct 93 12:48:42 +0700 Here are some more reponses to our query on the prediction of secondery structures of proteins by neural nets. We post it to the neuron-request for the benefit of fellow-researchers. Thanks very much again to the respondents. Pushpak Bhattacharyya pb@cse.iitb.ernet.in Susmita De susmita@cse.iitb.ernet.in >From markb@orl.mmc.com Fri Oct 8 01:28:03 1993 I doubt your problems have much to do with the size of your problem as I routinely train BP classifiers on data sets of 8,000 examples using nets roughly the size of 65x20x3 with great success. More likely is some little snag with how you are presenting data to the net and so I am going to go through how you stated your problem. Please let me know if any of the following is in error. You say you present the net with the primary sequence of the protein and it has 65 binary values. I assume you are encoding the amino acids acids in some way ( 20 amino acids requires 5 bits to represent ) so I assume you are working on a sequence of length 13; i.e. 65/5. You have then chosen 20 hidden nodes ( because there are 20 amino acids? ) and finally have some data which suggests these 13 residues have three distinct conformations. Question: how do you assign the training values? Like Conformation 1: 1.0 0.0 0.0 Conformation 2: 0.0 1.0 0.0 Conformation 3: 0.0 0.0 1.0 or do you use 0.9 and 0.1? i.e. Conformation 1: 0.9 0.1 0.1 Conformation 2: 0.1 0.9 0.1 Conformation 3: 0.1 0.1 0.9 a related question would be do you use a sigmoid or other squashing function on the output layer of nodes? Finally, are the three conformations presented to the net in random order or do you present the BP net with all of the Conformation 1 examples, then all of the Conformation 2 examples, ...? I would suggest: 1) making sure you always put the 'N-terminal' residue at the same spot 2) putting a squashing function at the output 3) putting "teacher values" of 0.9 and 0.1 one the training examples 4) presenting the examples in random order Finally, make sure you 1) set the learning constant sufficiently low so it does not "peg" initial movements to either 1 or 0 2) include the "bias nodes". I would absolutely LOVE to see your data! I have worked BP nets as classifiers for years, but have no access to protein data Mark. &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& >From may@apple.com Fri Oct 8 09:31:38 1993 > We are trying to train a BP neural net (PDP-3 package of Rumelhart and > Mclleland is being used) with the input as the primary structure and the > output as the conformational state of the amino acids. The net has 65 > binary inputs and 3 binary outputs. The number of patterns to be trained > are more than eight thousand. We have 20 neurons in the hidden layer. > > Now, just after one epoch the hidden neurons go into saturation state - > all their outputs are 1. At the same time the output neurons also go into > saturation. All their outputs become 0. We understand that the primary > reason for this is that A LARGE number of patterns are being trained on a > net with large no of inputs. The weights to the o/p layer keep on getting > the same kind of "Credit", so that their values go on decreasing to large > negative values. > > Could anybody suggest a way out of this difficulty - which to our mind is > a result of applying BP on a large-size real life problem ? (those > applying BP on large problems will appreciate our difficulty !). Hi, If you're allowed to release your training set I'd be happy to run it through my own backprop simulator and send you the results (structure and weights). I can also send you the code when I've polished the user- interface (probably another man-month of work). Regards, Patrick May may@apple.com >From /PN=luca/OU=aeolus/O=ethz/PRMD=switch/ADMD=arcom/C=ch/@x400-gate.iitb.ernet. in Fri Oct 8 10:21:02 1993 Dear Sirs, I have read your post on neural network and your current problems. I am fiishing a PH.D. in protein crystallography ,and I am interested into the applicationof neural network pattern recognition on prediction of proteins structures. I used it as well in classical crystallographical problems, since 2 years. I suppose you are all well aware about the work done by Cotteril few years ago about threedimensional protein structure prediction appeared on a small paper on FEBS. I do not remeba the exact reference but I will look up in the lab tomorrow ( I know I have it ), if you haven't yet read it. I also worked on topological approach to predict conformations of aminoacids. My opinion on the problem as you posed is that it is ill-posed. That is: 1) are you really SURE that you posed the problem in the more straight way ? 2) 8000 patterns are not much compared to the 1400 weights that the net has to solve , are you sure that they are enough ? I never had problems in making a net converging and generalyze, when I posed the problem in the right way ... I applyed my problem to 20000 (twenty thousands) neurons as input layer, each input being varying between 0. and 1. and using sigmoidal function as first step, 5000 hiddens and 20000 (twenty thousands) outputs. I was running it on a CRAY-YMP and then lastly on a faster machine capable of storing up to 30 GigaBytes in Memory (NEC-SX-3) and had never the pro- blems you show. therefore I suppose that the problem you are encountering is not due to the size of the problem but of the way you designed it ... neural networks have nothing magic ! all the business is to use them correctly and in an approprate way .... OK ? in case I can be of any help, give me a ring :-) Luca luca@aeolus.ethz.ch >From stein@mars.fiz.huji.ac.il Fri Oct 8 14:12:14 1993 > We are trying to train a BP neural net (PDP-3 package of Rumelhart and > Mclleland is being used) with the input as the primary structure and the > output as the conformational state of the amino acids. The net has 65 > binary inputs and 3 binary outputs. The number of patterns to be trained > are more than eight thousand. We have 20 neurons in the hidden layer. > Now, just after one epoch the hidden neurons go into saturation state - > all their outputs are 1. At the same time the output neurons also go into > saturation. All their outputs become 0. We understand that the primary > reason for this is that A LARGE number of patterns are being trained on a > net with large no of inputs. The weights to the o/p layer keep on getting > the same kind of "Credit", so that their values go on decreasing to large > negative values. > Could anybody suggest a way out of this difficulty - which to our mind is > a result of applying BP on a large-size real life problem ? (those > applying BP on large problems will appreciate our difficulty !). Your problem does not really classify as a large-size problem with 65 inputs and 3 outputs. We routinely handle hundreds of inputs and tens of outputs with no saturation problems. I suggest that you consult our article that appeared in IJCNN-92 (Baltimore) I-932 for some tips. First, make sure that your binary inputs are represented by -1 and +1 and NOT by 0 and 1. Otherwise you will have to deal with the derivative becoming zero by one of several techniques (see references in our article). Next you are probably being drawn into a global attractor, to check this try stretching your sigmoid to pull the values out of saturation and continue training. If these don't help drop me an email. Dr. Yaakov Stein Neural Network Group Efrat Future Technology Tel Aviv, ISRAEL >From FLOTZI@dpmi.tu-graz.ac.at Fri Oct 8 14:45:45 1993 Hi! I read about your problems with your backprop application with 65 binary inputs and 3 binary outputs. I have had problems with backprop, too, and although I don't know the package you are using I can think of some reasons why the nodes go into saturation so quickly: 1) the learning rate may be too large: depending on the implementation and on whether you use a momentum term or not you should use quite small values like 0.001 or even smaller, look at the error curve to find out if that is too small. 2) I guess you use batch learning, i.e. you look at all training examples before changing the weights. I have found that this is not so useful if the patterns are not well seperable. I prefer 'on-line' learning, i.e. changing the weights after each training example. Unfortunately, with 'on-line' learning, the momentum technique is not applicable, but I don't know whether you use it or not. 3) try using more than 20 hidden nodes, but I must confess I would have started with about the same number. I hope my suggestions will be of help Good luck Doris Flotzinger Medical Informatics Technical University Graz / Austria >From iain.strachan@aea.orgn.uk Fri Oct 8 18:58:31 1993 I read your query in neuroprose, and have a few suggestions that might help. If you've already tried this, please ignore. (1) The most common cause of premature saturation is setting of the initial values of the weights too high. If the expectation value of the input to any sigmoid unit is greater than about 3.5, then the slope of the sigmoid is 0.1 times the slope at value zero, and hence learning is very slow. A useful heuristic is to determine a basic range for the weights (say -1 to 1) and then to scale by the inverse of the square root of the number of inputs to the particular unit. If the problem still persists, reduce the initial range even further. (2) A good discussion of premature saturation is given in: "An analysis of Premature Saturation in Back Propagation Learning". Lee,Oh and Kim, Neural Networks Vol 6(1993) pps 719-728. (3) If the learning rate is too high, this can also immediately cause the neurons to go into saturation. - ----------------------------------------------------------------------------- - Mr. Iain G. D. Strachan iain.strachan@aea.orgn.uk Tel: +44 (0)235 435321 Fax: +44 (0)235 432726 AEA Technology Applied Neurocomputing Centre B521.1 Harwell Oxfordshire OX11 0RA UK - ----------------------------------------------------------------------------- - >From /PN=jmerelo/O=ugr/PRMD=iris/ADMD=mensatex/C=es/@x400-gate.iitb.ernet.in Fri Oct 8 22:19:41 1993 Hi, this is JJ Merelo, from Spain... I don't know if you have checked the literature, but just in case, there is a classical article by Qian and Sejnowski, as well as new papers by people at the EMBL that achieve just what you're looking for. They don't manage to achieve more than a 70% of accuracy, from protein sequence to secondary structure. Several other approaches haven been tried; for instande, ours (Andrade et al, that has appeared in Protein Engineering recently), which tries to predict secondary structure from circular dichroism spectra, achieving somewhat better results. Hope this helps, JJ >From drt@genesis.mcs.com Sat Oct 9 19:42:59 1993 Pushpak, you wrote in Neuron Digest: >We are trying to train a BP neural net (PDP-3 package of Rumelhart and >Mclleland is being used) with the input as the primary structure and the >output as the conformational state of the amino acids. The net has 65 >binary inputs and 3 binary outputs. The number of patterns to be trained >are more than eight thousand. We have 20 neurons in the hidden layer. > >Now, just after one epoch the hidden neurons go into saturation state - >all their outputs are 1. At the same time the output neurons also go into >saturation. All their outputs become 0. We understand that the primary >reason for this is that A LARGE number of patterns are being trained on a >net with large no of inputs. The weights to the o/p layer keep on getting >the same kind of "Credit", so that their values go on decreasing to large >negative values. > >Could anybody suggest a way out of this difficulty - which to our mind is >a result of applying BP on a large-size real life problem ? (those >applying BP on large problems will appreciate our difficulty !). The easiet solution is to change all those binary 1s in the input layer to smaller values, like 0.1. A harder way to do this is to change the activation function from: 1 / (1 + exp(-x)) to: 1 / (1 + exp(-D*x)) and make D less than 1. This require modifying the code but then I guess you have it so you can do it. While harder, this is more convenient because you can keep changing D (called the gain or sharpness) until you get good results. Also you will probably want to use very small initial random weights. But I'll give you some other good advice too: try some of the newer variations on backprop like delta-bar-delta and quickprop. But I'll give you a caution about this too: I was recently puttering around with the sonar data using backprop and quickprop and the backprop network was generalizing better than quickprop. Another trick is to fudge the derivative term for the output units only so instead of using s(1-s) where s is the value of the output unit use 0.1 + s(1-s) or just plain 1. Given that you have 3 binary outputs I think this may help because I bet some of them will get stuck at the wrong values and when they do the normal s(1-s) term slows learning down by A LOT. Finally I could offer you my backprop code that happens to do these things. I've posted the backprop source in C for UNIX and DOS in comp.sources.misc a number of times and people around the world have used it and liked it. Its free for ordinary uses, $200 for businesses and government agencies, if you find it useful. In case you find it useful you get the new improved "professional" version as well. Don Tveter 5228 N. Nashville Ave. Chicago, Illinois 60656-2233 USA drt@genesis.mcs.com >From huyser@nova3.Stanford.EDU Sun Oct 10 04:27:23 1993 Dear Drs. Bhattacharyya and De, I should think your learning rate is too large. I would try batch learning (one step per epoch on the accumulated errors) and a step-size (lrate) of roughly 0.1/npatterns, which for you is about 1e-5. It's possible that 1e-4 would still be stable; it depends on the data. Best wishes, Karen Huyser ------------------------------ End of Neuron Digest [Volume 12 Issue 11] *****************************************