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Dynamic Interactions in Neural Networks: Models and Data

  • Conference proceedings
  • © 1989

Overview

Editors:
  1. Michael A. Arbib

    1. Center for Neural Engineering, University of Southern California, Los Angeles, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Shun-ichi Amari

    1. Department of Mathematical Engineering and Instrumentation Physics, University of Tokyo, Tokyo, Japan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Research Notes in Neural Computing (NEURALCOMPUTING, volume 1)

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Table of contents (16 papers)

  1. Front Matter

    Pages i-viii
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  2. Dynamic Interactions in Neural Networks: An Introductory Perspective

    1. Dynamic Interaction in Neural Networks: An Introductory Perspective

      • Michael A. Arbib
      Pages 1-11

  4. Visual Function

    1. Front Matter

      Pages 121-121
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    2. Interacting Subsystems for Depth Perception and Detour Behavior

      • Michael A. Arbib
      Pages 123-151

    3. Role of Basal Ganglia in Initiation of Voluntary Movements

      • Okihide Hikosaka
      Pages 153-167

    4. Neural Mechanisms of Attention in Extrastriate Cortex of Monkeys

      • Robert Desimone, Jeffrey Moran, Hedva Spitzer
      Pages 169-182

    5. Neuronal Representation of Pictorial Working Memory in the Primate Temporal Cortex

      • Yasushi Miyashita
      Pages 183-191

  5. Motor Control and the Cerebellum

    1. Front Matter

      Pages 193-193
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    2. Hierarchical Learning of Voluntary Movement by Cerebellum and Sensory Association Cortex

      • Mitsuo Kawato, Michiaki Isobe, Ryoji Suzuki
      Pages 195-214

    3. A Model for Oblique Saccade Generation and Adaptation

      • Masahiko Fujita
      Pages 215-226

    4. Cerebellar Mechanisms in the Adaptation of Vestibuloocular Reflex

      • Yasushi Miyashita, Koichi Mori
      Pages 227-237

    5. A Kalman Filter Theory of the Cerebellum

      • Michael Paulin
      Pages 239-259

    6. Conditioning and the Cerebellum

      • John W. Moore, Diana E. J. Blazis
      Pages 261-277
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Keywords

About this book

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 neural network function: learning, perception, and action. More specifically, the chapters are grouped under three headings: "Development and Learning in Adaptive Networks," "Visual Function", and "Motor Control and the Cerebellum.

Editors and Affiliations

  • Center for Neural Engineering, University of Southern California, Los Angeles, USA

    Michael A. Arbib

  • Department of Mathematical Engineering and Instrumentation Physics, University of Tokyo, Tokyo, Japan

    Shun-ichi Amari

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