NIPS*93 Workshop on Stability and Observability/program

[GARZONM@hermes.msci.memst.edu]

                       A day at NIPS*93 on
                    STABILITY AND OBSERVABILITY
                 3 December 1993 at Vail, Colorado

Intended Audience:  nneuroscientists, computer and cognitive
=================   scientists, neurobiologists, mathematicians/
                    dynamical systems, electrical engineers, and
                    anyone interested in questions such as:

                    * what effects can noise, bounded precision and
                      uncertainty in inputs, weights and/or
                      transfer functions have on the i/o
                      behavior of a neural network?
                    * what is missed and what is observable in
                      computer simulations of the networks they
                      purport to simulate?
                    * how much architecture can be observed
                      in the behavior of a network-in-a-box?
                    * what can be done to improve and/or accelerate
                      convergence to stable equilibria during
                      learning and network updates while preserving
                      the intended dynamics of the process?
Organizers:
==========

     Fernanda Botelho                   Max Garzon
botelhof at hermes.msci.memst.edu   garzonm at hermes.msci.memst.edu
Mathematical Sciences            Institute for Intelligent Systems
                    Memphis State University
                    Memphis, TN 38152 U.S.A.
          [botelhof,garzonm]@hermes.msci.memst.edu


Program:
=======
Following is a (virtually) final schedule. Each talk is scheduled for
15 minutes with 5 minutes of interim for questions and comments. One
or contributed talk might still be added to the schedule (and
will cut into the panel discussion in the afternoon).

Morning Session:
---------------

7:30-7:50 M. Garzon, Memphis State University, Tennessee
          Introduction and Overview

7:50-8:10 S. Kak, Louisiana State University, Baton Rouge
          Stability and Observability in Feedback Networks

8:10-8:30 S. Piche, Microelectronics Technology Co., Austin, Texas
          Sensitivity of Neural Networks to Errors

8:30-8:50 R. Rojas, Int. Computer Science Institute UCB
          and Freie Universit\"at Berlin
          Stability of Learning in Neural Networks

8:50-9:10 G. Chauvet and P. Chauvet,
          Institut de Biologie Th\'eorique, U. d'Angers, France
          Stability of Purkinje Units in the Cerebellar Cortex

9:10-9:30 N. Peterfreund and Y. Baram, Technion, Israel
          Trajectory Control of Convergent Networks


Afternoon Session:
------------------

4:30-4:50 X. Wang, U. of Southern California and UCLA
          Consistencies of Stability and Bifurcation

4:50-5:10 M. Casey, UCSD, San Diego, California
          Computation Dynamics in Discrete-time Recurrent Nets

5:10-5:30 M. Cohen, Boston University, Massachussets
          Synthesis of Decision Regions in Dynamical Systems

5:30-5:50 F. Botelho, Memphis State University, Tennessee
          Observability of Discrete and Analog Networks

5:50-6:10 U. Levin and K. Narendra,
          OGI/CSE Portland/Oregon and Yale University,
          Recursive Identification Using Feedforward Nets

6:10-6:30 Panel Discussion

7:00      All-workshop wrap-up


Max Garzon                (preferred)   garzonm at hermes.msci.memst.edu
Math Sciences                           garzonm at memstvx1.memst.edu
Memphis State University                Phone: (901) 678-3138/-2482
Memphis, TN 38152  USA                  Fax:   (901) 678-2480/3299