Overview

""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 netowrks 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, scientific and biological applications. 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 and visual processing.

Full Product Details

Author:   J.G. Taylor ,  E.R. Caianiello ,  R.M.J. Cotterill ,  J.W. Clark
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Edition. ed.
Dimensions:   Width: 17.00cm , Height: 2.00cm , Length: 24.20cm
Weight:   0.660kg
ISBN:  

9783540197713

ISBN 10:   3540197710
Pages:   371
Publication Date:   12 October 1992
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Foundations of Neural Net Dynamics.- Information and Pattern Capacities in Neural Associative Memories with Feedback for Sparse Memory Patterns.- Associative Reinforcement Training Using Probabilistic RAM Nets.- Unlearning and its Relevance to REM Sleep: Decorrelating Correlated Data.- Optimal Architectures and High-Order Networks.- Deterministic Networks with Ternary Neurons.- Nets, Structure, Hierarchy.- Training Random Asymmetric `Neural' Networks Towards Chaos - A Progress Report.- Complex Dynamics of a Discrete Time Model of a Neuron.- Oscillatory Neural Networks.- Correlated Neuronal Firing: A Clue to the Integrative Functions of Cortex?.- Two-Layered Physiology-Oriented Neuronal Network Models that Combine Dynamic Feature Linking via Synchronization with a Classical Associative Memory.- Theoretical Framework for Analysing the Behaviour of Real and Simulated Neural Networks.- Coupled Neuronal Oscillatory Systems.- Gamma-Band Oscillations in a Cortical Model.- Information Processing by Dynamical Interaction of Oscillatory Modes in Coupled Cortical Networks.- Analysis of Oscillatory Regimes of a Coupled Neural Oscillator System with Application to Visual Cortex Modeling.- Systems of Relaxation Oscillators with Time-Delayed Coupling.- Cortical Coherent Activity Induced by Thalamic Oscillations.- A `Microscopic' Model of Collective Oscillations in the Cortex.- Temporal Processing in Brain Activity.- Scientific Applications of Neural Networks.- Structural Properties of Proteins Predicted by Neural Networks.- Nuclear Phenomenology with Neural Nets.- Applying Neural Networks to Resonance Search in High Energy Physics.- Visual Comparison of Information Storage in Various Neural Network Models.- Biological Applications of Neural Networks.- Activation Dynamics of Space-Variant Continuous Networks.- Hierarchical Neural Representations by Synchronized Activity: A Concept for Visual Pattern Recognition.

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