Neural Network Dynamics

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

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.

• artificial intelligence
• associative memory
• behavior
• cognition
• computational neuroscience
• cortex
• memory
• modeling
• neural computation
• neural networks
• neuroscience
• pattern recognition
• philosophy
• physiology
• training

• 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

Policies and ethics