Path: utzoo!utgpu!water!watmath!clyde!cbosgd!ucbvax!ti-csl.csc.ti.COM!NEURON-Request From: NEURON-Request@ti-csl.csc.ti.COM (NEURON-Digest moderator Michael Gately) Newsgroups: comp.ai.neural-nets Subject: NEURON Digest Message-ID: <8802051223.AA13336@ucbvax.Berkeley.EDU> Date: 4 Feb 88 15:12:27 GMT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: NEURON@ti-csl.csc.ti.com Organization: The Internet Lines: 186 NEURON Digest Thu Feb 4 09:12:28 CST 1988 Volume 3 / Issue 4 Today's Topics: Biological Neural Networks? revised and final call for applications NEURAL NET TALK ON KANERVA'S SDM Conference - Neural Controls Session at ACC ---------------------------------------------------------------------- Date: Wed, 03 Feb 88 12:46:07 EST From: wall Subject: Biological neural networks? does anyone know of any work being done in the use of more biologically motivated models of neural nets? lets face it, this PDP stuff is getting pretty far afield of real neurons, and i just wondered wether recent research in neurology is being put to use in AI systems. any help on this would be greatly appreciated. 10Q in advance wallace marshall WALL@SBCCVM.BITNET ------------------------------ Date: Thu 4 Feb 88 00:29:33-EST From: Dave.Touretzky@c.cs.cmu.edu Subject: revised and final call for applications THE 1988 CONNECTIONIST MODELS SUMMER SCHOOL ORGANIZER: David Touretzky ADVISORY COMMITTEE: Geoffrey Hinton, Terrence Sejnowski SPONSORS: The Sloan Foundation; AAAI; AFOSR; in cooperation with ACM SIGART. DATES: June 17-26, 1988 PLACE: Carnegie Mellon University, Pittsburgh, Pennsylvania PROGRAM: The summer school program is designed to introduce young neural networks researchers to the latest developments in the field. There will be sessions on learning, theoretical analysis, connectionist symbol processing, speech recognition, language understanding, brain structure, and neuromorphic computer architectures. Students will have the opportunity to informally present their own research and to interact closely with some of the leaders of the field. LIST OF FACULTY: Yaser Abu-Mostafa (Caltech) Yann Le Cun (Toronto) Dana Ballard (Rochester) James McClelland (Carnegie Mellon) Andrew Barto (U. Mass.) David Rumelhart (Stanford) Gail Carpenter (Boston U.) Terrence Sejnowski (Johns Hopkins) Scott Fahlman (Carnegie Mellon) Mass Sivilotti (Cal Tech) Geoffrey Hinton (Toronto) Paul Smolensky (UC Boulder) Michael Jordan (MIT) David Tank (AT&T Bell Labs) Scott Kirkpatrick (IBM) David Touretzky (Carnegie Mellon) George Lakoff (Berkeley) Alex Waibel (ATR International) EXPENSES: Students are responsible for their meals and travel expenses; a small amount of travel funds may be available. Free dormitory space will be provided. There is no tuition charge. WHO SHOULD APPLY: The summer school's goal is to assist young researchers who have chosen to work in the area of neural computation. Participation is limited to graduate students (masters or doctoral level) who are actively involved in some aspect of neural network research. Persons who have already completed the Ph.D. are not eligible. Applicants who are not full time students will still be considered, provided that they are enrolled in a doctoral degree program. A total of 50 students will be accepted. HOW TO APPLY: By March 1, 1988, send your curriculum vitae and a copy of one relevant paper, technical report, or research proposal to: Dr. David Touretzky, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, 15213. Applicants will be notified of acceptance by April 15, 1988. ------------------------------ Date: Tue 2 Feb 88 09:07:48-PST From: Jim Keeler Subject: NEURAL NET TALK ON KANERVA'S SDM *********************** OPEN TECHNICAL MEETING *********************** IEEE Computer Society, Santa Clara Valley Chapter Tuesday Febuary 9, 1988 8:00 p.m. Hewlett-Packard Cupertino (Wolfe & Homestead) Building 48, Oak Room "CAPACITY FOR PATTERNS AND SEQUENCES IN KANERVA'S SDM AS COMPARED TO OTHER ASSOCIATIVE MEMORY MODELS" ABSTRACT: Dr. James Keeler of Stanford University will be speaking on the information capacity of Kanerva's Sparse, Distributed Memory (SDM) and Hopfield-type neural networks will be discussed. Using certain approximations, it is shown that the total information stored in these systems is proportional to the number connections in the network. The proportionality constant is the same for the SDM and Hopfield-type models independent of the particular model, or the order of the model. This same analysis can be used to show that the SDM can store sequences of spatiotemporal patterns, and the addition of time-delayed connections allows the retrieval of context dependent temporal patterns with varying time delays. Dr. Keeler Received his Ph.D in Physics from U. C. San Diego, March 1987. His dissertation was on reaction-diffusion systems and neural network models. He is now a Postdoctoral student at Stanford University's Department of Chemistry working on neural network models, as well as consulting for Penti Kanerva's (RIACS, NASA Ames Research Center) SDM research group. For additional information contact Coe Miles-Schlichting: coe@pluto.arc.nasa.gov or (408) 279-4773 ------------------------------ Date: Fri, 8 Jan 88 07:27 PST From: nesliwa%nasamail@ames.arc.nasa.gov (NANCY E. SLIWA) Subject: Conference - Neural Controls Session at ACC In response to requests for information about the ACC session in neural applications to robotics, about which I recently solicited names, I am posting the current status of the session, along with minimal conference information. Registration information can probably be obtained from the general chair. 1988 American Controls Conference June 15-17, 1988 The Atlanta Hilton and Towers Atlanta, Georgia General Chair: Wayne Book The George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta, Georgia 30332 (404) 894-3247 Invited Session on Neural Networks in Control (A 4-hour session, 8 regular papers) Chairs: Moshe Kam, Drexel University Don Soloway, NASA Langley Research Center "How Neural Networks Factor Problems of Sensory Motor Control" Danial Bullock, Boston University "Neural and Adaptive Control: Similarities and Differences" A. Sideris, D. Psaltis, A. Yamakura, California Inst. of Technology "On State Space Analysis for Neural Networks" Moshe Kam, Roger Cheng, Allon Guez, Drexel University "Adaptive Neural Model for Hand-Eye Coordination" M. Kuperstein, Wellesley College "A Neural Network for Planning Preshape Postures of the Human Hand" Thea Ibarall, University of Southern California "Strategy Learning with Multilayer Connectionist Representations" Charles Anderson, GTE Labs Inc. "Neural-Networks-Based Learning Systems for Material Handling Using Multiple Robots" D-Y Yeung, George Bekey, University of Southern California "Using Neural Networks to Characterize Complex Systems" Philip Daley, A. Thornbrugh, Martin-Marietta Astronautics Group Nancy Sliwa NASA Langley Research Center 804/865-3871 nesliwa%nasamail@ames.arpa ------------------------------ End of NEURON-Digest ********************