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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 : Perspectives in Neural Computing - J. G. Taylor

Neural Network Dynamics : Proceedings of the Workshop on Complex Dynamics in Neural Networks, June 17-21 1991 at Iiass, Vietri, Italy

Perspectives in Neural Computing

By: J. G. Taylor (Editor), E. R. Caianiello (Editor), R. M. J. Cotterill (Editor), J. W. Clark (Editor)

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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.

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.

ISBN: 9783540197713
ISBN-10: 3540197710
Series: Perspectives in Neural Computing
Audience: General
Format: Paperback
Language: English
Number Of Pages: 371
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: GB
Dimensions (cm): 24.41 x 16.99  x 2.01
Weight (kg): 0.61