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Models of Neural Networks I

  • Textbook
  • © 1995

Overview

Editors:
  1. Eytan Domany

    1. Department of Electronics, Weizmann Institute of Science, Rehovot, Israel

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  2. J. Leo Hemmen

    1. Institut für Theoretische Physik, Technische Universität München, Garching bei München, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Klaus Schulten

    1. Department of Physics and Beckman Institute, University of Illinois, Urbana, USA

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Part of the book series: Physics of Neural Networks (NEURAL NETWORKS)

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XVIII
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  2. Collective Phenomena in Neural Networks

    • J. Leo van Hemmen, Reimer Kühn
    Pages 1-113

  3. Information from Structure: A Sketch of Neuroanatomy

    • Valentino Braitenberg
    Pages 115-128

  4. Storage Capacity and Learning in Ising-Spin Neural Networks

    • Bruce M. Forrest, David J. Wallace
    Pages 129-156

  5. Dynamics of Learning

    • Wolfgang Kinzel, Manfred Opper
    Pages 157-179

  6. Hierarchical Organization of Memory

    • Michail V. Feigel’man, Lev B. Ioffe
    Pages 181-200

  7. Asymmetrically Diluted Neural Networks

    • Reiner Kree, Annette Zippelius
    Pages 201-220

  8. Temporal Association

    • Reimer Kühn, J. Leo van Hemmen
    Pages 221-288

  9. Self-organizing Maps and Adaptive Filters

    • Helge Ritter, Klaus Obermayer, Klaus Schulten, Jeanne Rubner
    Pages 289-315

  10. Layered Neural Networks

    • Eytan Domany, Ronny Meir
    Pages 317-344

  11. Back Matter

    Pages 345-358
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Keywords

About this book

One of the great intellectual challenges for the next few decades is the question of brain organization. What is the basic mechanism for storage of memory? What are the processes that serve as the interphase between the basically chemical processes of the body and the very specific and nonstatistical operations in the brain? Above all, how is concept formation achieved in the human brain? I wonder whether the spirit of the physics that will be involved in these studies will not be akin to that which moved the founders of the "rational foundation of thermodynamics". C. N. Yang! 10 The human brain is said to have roughly 10 neurons connected through about 14 10 synapses. Each neuron is itself a complex device which compares and integrates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the brain to simpler physical systems. We have witnessed during the last decade some surprising contributions of physics to the study of the brain. The most significant parallel between biological brains and many physical systems is that both are made of many tightly interacting components.

Editors and Affiliations

  • Department of Electronics, Weizmann Institute of Science, Rehovot, Israel

    Eytan Domany

  • Institut für Theoretische Physik, Technische Universität München, Garching bei München, Germany

    J. Leo Hemmen

  • Department of Physics and Beckman Institute, University of Illinois, Urbana, USA

    Klaus Schulten

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