Competition and Cooperation in Neural Nets

Proceedings of the U.S.-Japan Joint Seminar held at Kyoto, Japan February 15–19, 1982

  • Shun-ichi Amari
  • Michael A. Arbib

Part of the Lecture Notes in Biomathematics book series (LNBM, volume 45)

Table of contents

  1. Front Matter
    Pages N2-XIV
  2. An Opening Perspective

  3. Reaction-Diffusion Equations

  4. Single-Neuron and Stochastic Models

    1. Alwyn C. Scott
      Pages 83-104
    2. C. Koch, T. Poggio, V. Torre
      Pages 105-110
    3. Shunsuke Sato
      Pages 111-120
    4. Masaya Yamaguti, Masayoshi Hata
      Pages 171-177
  5. Oscillations in Neural Networks

    1. Ryoji Suzuki, Sumiko Majima, Hitoshi Tatumi
      Pages 178-190
    2. Shoichi Noguchi, Tetsuo Araki
      Pages 191-201
  6. Development and Plasticity of the Visual Systems

  7. Sensori-Motor Transformations and Learning

  8. Back Matter
    Pages 442-444

About these proceedings


The human brain, wi th its hundred billion or more neurons, is both one of the most complex systems known to man and one of the most important. The last decade has seen an explosion of experimental research on the brain, but little theory of neural networks beyond the study of electrical properties of membranes and small neural circuits. Nonetheless, a number of workers in Japan, the United States and elsewhere have begun to contribute to a theory which provides techniques of mathematical analysis and computer simulation to explore properties of neural systems containing immense numbers of neurons. Recently, it has been gradually recognized that rather independent studies of the dynamics of pattern recognition, pattern format::ion, motor control, self-organization, etc. , in neural systems do in fact make use of common methods. We find that a "competition and cooperation" type of interaction plays a fundamental role in parallel information processing in the brain. The present volume brings together 23 papers presented at a U. S. -Japan Joint Seminar on "Competition and Cooperation in Neural Nets" which was designed to catalyze better integration of theory and experiment in these areas. It was held in Kyoto, Japan, February 15-19, 1982, under the joint sponsorship of the U. S. National Science Foundation and the Japan Society for the Promotion of Science. Participants included brain theorists, neurophysiologists, mathematicians, computer scientists, and physicists. There are seven papers from the U. S.


Neurokybernetik behavior cortex information processing neural mechanisms neural network neurons

Editors and affiliations

  • Shun-ichi Amari
    • 1
  • Michael A. Arbib
    • 2
  1. 1.Dept. of Mathematical Engineering and Instrumentation PhysicsUniversity of TokyoBunkyo-ku, Tokyo 113Japan
  2. 2.Center for Systems Neuroscience, Department of Computer and Information ScienceUniversity of MassachusettsAmherstUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1982
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-11574-8
  • Online ISBN 978-3-642-46466-9
  • Series Print ISSN 0341-633X
  • Buy this book on publisher's site