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Neural Network Dynamics

Proceedings of the Workshop on Complex Dynamics in Neural Networks, June 17–21 1991 at IIASS, Vietri, Italy

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. J. G. Taylor

    1. Centre for Neural Networks, Department of Mathematics, King’s College, Strand, London, UK

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  2. E. R. Caianiello

    1. Dipartimento di Fisica Teorica, Università di Salerno, Baronissi (SA), Italy

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  3. R. M. J. Cotterill

    1. Department of Biophysics, The Technical University of Denmark, Lyngby, Denmark

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  4. J. W. Clark

    1. Department of Physics, Washington University, St Louis, USA

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Part of the book series: Perspectives in Neural Computing (PERSPECT.NEURAL)

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Table of contents (25 papers)

  1. Front Matter

    Pages i-xii
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  2. Foundations of Neural Net Dynamics

    1. Front Matter

      Pages 1-1
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    2. Information and pattern capacities in neural associative memories with feedback for sparse memory patterns

      • Günther Palm, Friedrich T. Sommer
      Pages 3-18

    3. Associative Reinforcement Training Using Probabilistic RAM Nets

      • Denise Gorse
      Pages 19-29

    4. Unlearning and Its Relevance to REM Sleep: Decorrelating Correlated Data

      • J. L. van Hemmen, N. Klemmer
      Pages 30-43

    5. Optimal Architectures and High-Order Networks

      • Karl E. Kürten
      Pages 44-56

    6. Deterministic Networks with Ternary Neurons

      • Maria Marinaro
      Pages 57-74

    7. Nets, Structure, Hierarchy

      • Eduardo R. Caianiello
      Pages 75-89

    8. Training Random Asymmetric ‘Neural’ Networks Towards Chaos — A Progress Report

      • P. C. McGuire, G. C. Littlewort, C. Pershing, J. Rafelski
      Pages 90-102

    9. Complex dynamics of a discrete time model of a neuron

      • Paul C. Bressloff
      Pages 103-121

  3. Oscillatory Neural Networks

    1. Front Matter

      Pages 123-123
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    2. Correlated Neuronal Firing: a Clue to the Integrative Functions of Cortex?

      • Andreas K. Engel, Peter König, Wolf Singer
      Pages 125-139

    3. Two-Layered Physiology-Oriented Neuronal Network Models that Combine Dynamic Feature Linking via Synchronization with a Classical Associative Memory

      • M. Arndt, P. Dicke, M. Erb, R. Eckhorn, H. J. Reitboeck
      Pages 140-154

    4. Theoretical framework for analysing the behaviour of real and simulated neural networks

      • A. V. Holden, J. V. Tucker, B. C. Thompson, D. Withington, H. Zhang
      Pages 155-169

    5. Coupled Neuronal Oscillatory Systems

      • Julie Hyde
      Pages 170-179

    6. Gamma-Band Oscillations in a Cortical Model

      • Rodney M. J. Cotterill, Claus Nielsen
      Pages 180-190

    7. Information Processing by Dynamical Interaction of Oscillatory Modes in Coupled Cortical Networks

      • Bill Baird
      Pages 191-207

    8. Analysis of Oscillatory Regimes of a Coupled Neural Oscillator System with Application to Visual Cortex Modeling

      • Galina N. Borisyuk, Roman M. Borisyuk, Alexander I. Khibnik
      Pages 208-225

    9. Systems of Relaxation Oscillators with Time-Delayed Coupling

      • Ernst Niebur, Heinz G. Schuster, Daniel M. Kammen
      Pages 226-233

    10. Cortical Coherent Activity Induced by Thalamic Oscillations

      • A. Destexhe, A. Babloyantz
      Pages 234-249
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Keywords

About this book

Neural Network Dynamics is the latest volume in the Perspectives in Neural Computing series. It contains papers presented at the 1991 Workshop on Complex Dynamics in Neural Networks, held at IIASS in Vietri, Italy. The workshop encompassed a wide range of topics in which neural networks play a fundamental role, and aimed to bridge the gap between neural computation and computational neuroscience. The papers - which have been updated where necessary to include new results - are divided into four sections, covering the foundations of neural network dynamics, oscillatory neural networks, as well as scientific and biological applications of neural networks. Among the topics discussed are: A general analysis of neural network activity; Descriptions of various network architectures and nodes; Correlated neuronal firing; A theoretical framework for analyzing the behaviour of real and simulated neuronal networks; The structural properties of proteins; Nuclear phenomenology; Resonance searches in high energy physics; The investigation of information storage; Visual cortical architecture; Visual processing. Neural Network Dynamics is the first volume to cover neural networks and computational neuroscience in such detail. Although it is primarily aimed at researchers and postgraduate students in the above disciplines, it will also be of interest to researchers in electrical engineering, medicine, psychology and philosophy.

Editors and Affiliations

  • Centre for Neural Networks, Department of Mathematics, King’s College, Strand, London, UK

    J. G. Taylor

  • Dipartimento di Fisica Teorica, Università di Salerno, Baronissi (SA), Italy

    E. R. Caianiello

  • Department of Biophysics, The Technical University of Denmark, Lyngby, Denmark

    R. M. J. Cotterill

  • Department of Physics, Washington University, St Louis, USA

    J. W. Clark

Bibliographic Information

  • Book Title: Neural Network Dynamics

  • Book Subtitle: Proceedings of the Workshop on Complex Dynamics in Neural Networks, June 17–21 1991 at IIASS, Vietri, Italy

  • Editors: J. G. Taylor, E. R. Caianiello, R. M. J. Cotterill, J. W. Clark

  • Series Title: Perspectives in Neural Computing

  • DOI: https://doi.org/10.1007/978-1-4471-2001-8

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 1992

  • Softcover ISBN: 978-3-540-19771-3Published: 12 October 1992

  • eBook ISBN: 978-1-4471-2001-8Published: 06 December 2012

  • Series ISSN: 1431-6854

  • Edition Number: 1

  • Number of Pages: XII, 371

  • Number of Illustrations: 9 b/w illustrations

  • Topics: Artificial Intelligence, Computation by Abstract Devices

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