Models of Neural Networks

✍ Scribed by J. Leo van Hemmen, Reimer Kühn (auth.), Professor Eytan Domany, Professor Dr. J. Leo van Hemmen, Professor Klaus Schulten (eds.)

Publisher: Springer Berlin Heidelberg
Year: 1991
Tongue: English
Leaves: 357
Series: Physics of Neural Networks
Category: Library

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✦ Synopsis

This book by internationally renowned experts gives an ex- cellent overview of a hot research field. It is equally im- portant for graduate students andactive researchers in physics, computer science, neuroscience, AI, and brainre- search.

✦ Table of Contents

Front Matter....Pages I-XVI
Collective Phenomena in Neural Networks....Pages 1-105
Information from Structure: A Sketch of Neuroanatomy....Pages 107-120
Storage Capacity and Learning in Ising-Spin Neural Networks....Pages 121-148
Dynamics of Learning....Pages 149-171
Hierarchical Organization of Memory....Pages 173-192
Asymmetrically Diluted Neural Networks....Pages 193-212
Temporal Association....Pages 213-280
Self-organizing Maps and Adaptive Filters....Pages 281-306
Layered Neural Networks....Pages 307-334
Back Matter....Pages 335-345

✦ Subjects

Thermodynamics;Statistical Physics, Dynamical Systems and Complexity;Neurosciences;Pattern Recognition;Biophysics and Biological Physics

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