World Conference on Neural Networks '93 (July 11-15, Portland, Oregon, USA)

[dlukas@PARK.BU.EDU]

                       WORLD CONGRESS ON NEURAL NETWORKS
      1993 Annual Meeting of the International Neural Network Society
                       July 11-15, 1993, Portland, Oregon 

WCNN'93 is the largest and most inter-disciplinary forum in the neural 
network field today.  


COOPERATING SOCIETIES:

American Association for Artificial              Cognitive Science Society
 Intelligence                              European Neural Network Society
American Mathematical Society                        IEEE Computer Society
American Physical Society                     IEEE Neural Networks Council
American Psychological Society     International Fuzzy Systems Association
Association for Behavior Analysis          Japanese Neural Network Society
Classification Society of North           Society for Mathematical Biology
 America                               Society for Mathematical Psychology
Society of Manufacturing Engineers 

PLENARY SPEAKERS INCLUDE:

Stephen Grossberg, 3-D Vision and Figure-Ground Pop-Out
Bart Kosko,        Neural Fuzzy Systems
Carver Mead,       Real-Time On-Chip Learning in Analog VLSI Networks
Kumpati Narendra,  Intelligent Control Using Neural Networks
Wolf Singer,       Coherence as an Organizing Principle of Cortical Function

TUTORIALS INCLUDE: 

Gail Carpenter,        Adaptive Resonance Theory
Robert Desimone,       Cognitive Neuroscience
Walter Freeman,        Neurobiology and Chaos
Robert Hecht-Nielsen,  Practical Applications of Neural Network Theory
Michael Kuperstein,    Neural Control and Robotics
S.Y.Kung,              Structural and Mathematical Approaches to Signal        
                         Processes
V.S. Ramachandran,     Biological Vision 
David Rumelhart,       Cognitive Science
Eric Schwartz,         Neural Computation and VLSI
Fred Watkins,          Neural Fuzzy Systems
Hal White,             Supervised Learning


INVITED SPEAKERS INCLUDE:

James A. Anderson,  Programming in Associative Memory
Gail A. Carpenter,  Adaptive Resonance Theory: Recent Research and 
                    Applications
Michael A. Cohen,   Recent Results in Neural Models of Speech and Language
                    Perception and Recognition
Judith E. Dayhoff,  Applications of Temporal and Molecular Structures in 
                    Neural Systems
Walter Daugherty,   A Partially Self-Training System for the Protein Folding
                    Problem
Kunihiko Fukushima, Improvement of the Neocognitron and the Selective
                    Attention Model
Armin Fuchs,        Brain Signals during Qualitative Changes in Patterns of 
                    Coordinated Movements
Stephen Grossberg,  Learning, Recognition, Reinforcement, Attention, and 
                    Timing in a Thalamo-Cortico-Hippocampal Model
Dan Hammerstrom,    Whither Electronic Neurocomputing?
R. Hecht-Nielsen,   Towards a General Theory of Data Compression
James C. Houk,      Spatiotemporal Patterns of Activity in an 
                    In Vitro Recurrent Network
Mitsuo Kawato,		Existence of an Inverse Dynamics Model in the Cerebellum
Teuvo Kohonen,      Boosting the Computing Power in Pattern Recognition 
                    by Unconventional Architectures
S.Y. Kung,          On Training Temporal Neural Networks
Michael Kuperstein, Neural Controller for Catching Moving Objects in 3-D
Daniel Levine,      A Gated Dipole Architecture for Multi-Drive, Multi-
                    Attribute Decision Making
Erkki Oja,          Nonlinear PCA: Algorithms and Applications
Michael P. Perrone, Learning from what's been Learned: Supervised Learning
                    in Multi-Neural Network Systems
Michael T. Posner,  Tracing Network Processes in Real Time with Scalp 
                    Electrodes                    
Robert Sekuler,     Perception of Motion: How the Brain Manages Those 
                    Thousand Points of Light
John G. Taylor,     M Forms of Memory
Thomas P. Vogl,     From Electrophysiology to a Stable Associative Learning
                    Algorithm
Allen Waxman,       Rats, Robots, Monkeys and Missiles: Neural Pathways in 
                    Robot Intelligence
Paul J. Werbos,     Supervised Learning: Can We Escape from its Local
                    Optimum?
Bernard Widrow,     Adaptive Signal Processing
Shuji Yoshizawa,    Dynamics and Capacity of Neural Models of Associative
                    Memory
Hussein Youssef,    Comparison of Several Neural Networks in Nonlinear
                    Dynamic System Modeling
Lotfi A. Zadeh,     Soft Computing, Fuzzy Logic and the Calculus of Fuzzy
                    Graphs

GENERAL CHAIR: George G. Lendaris
MAIN PROGRAM CHAIRS: Stephen Grossberg and Bart Kosko
SME/INNS TRACK PROGRAM CHAIRS: Kenneth Marko and Bernard Widrow
IFSA/INNS TRACK PROGRAM CHAIRS: Ronald Yager and Paul Werbos
COOPERATING SOCIETIES CHAIR: Mark Kon

INNS OFFICERS:   President:  Harold Szu
                 President-Elect: Walter Freeman
                 Past President: Paul Werbos
                 Executive Director: Morgan Downey

BOARD OF GOVERNORS:

Shun-ichi Amari          Richard Andersen          James A. Anderson
Andrew Barto             Gail Carpenter            Leon Cooper
Judith Dayhoff           Kunihiko Fukushima        Lee Giles
Stephen Grossberg        Mitsuo Kawato             Christof Koch
Teuvo Kohonen            Bart Kosko                C. von der Malsburg
David Rumelhart          John Taylor               Bernard Widrow
Lotfi Zadeh

FOR REGISTRATION AND ADDITIONAL INFORMATION PLEASE CONTACT: 

                         WCNN'93
                   Talley Management Group
                  875 Kings Highway, Suite 200 
                   West Deptford, NJ 08096
                     Tel: (609) 845-1720 
                     FAX: (609) 853-0411
                 e-mail: registration at wcnn93.ee.pdx.edu

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