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Neuron Digest Volume 03 Number 04
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
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Date: Wed, 03 Feb 88 12:46:07 EST
From: wall <WALL%SBCCVM.BITNET@mitvma.mit.edu>
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
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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 <jdk@riacs.edu>
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
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End of NEURON-Digest
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