The study of neural networks is enjoying a great renaissance both in computational neuroscience the development of information processing models of living brains and in neural computing the use of neurally inspired concepts in the construction of intelligent machines Thus the title of this volume has two interpretations It presents models and data on the dynamic interactions occurring in the brain and it exhibits the dynamic interactions between research in computational neuroscience and in neural computing as scientists seek to find common principles to guide the understanding of the living brain and the design of artificial neural networks This collection of contributions presents the current state of research future trends and open problems in an exciting field of today s science This is an exciting time The study of neural networks is enjoying a great renaissance both in computational neuroscience the development of information processing models of living brains and in neural computing the use of neurally inspired concepts in the construction of intelligent machines Thus the title of this volume Dynamic Interactions in Neural Networks Models and Data can be given two interpretations We present models and data on the dynamic interactions occurring in the brain and we also exhibit the dynamic interactions between research in computational neuroscience and in neural computing as scientists seek to find common principles that may guide us in the understanding of our own brains and in the design of artificial neural networks In fact the book title has yet a third interpretation It is based on the U S Japan Seminar on Competition and Cooperation in Neural Nets which we organized at the University of Southern California Los Angeles May 18 22 1987 and is thus the record of interaction of scientists on both sides of the Pacific in advancing the frontiers of this dynamic re born field The book focuses on three major aspects of
Michael A. Arbib is the Fletcher Jones Professor of Computer Science, as well as a Professor of Biological Sciences, Biomedical Engineering, Electrical Engineering, Neuroscience and Psychology at the University of Southern California.