An Introduction to Neural and Electronic Networks

An Introduction to Neural and Electronic Networks

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This book is a vivid presentation of the foremost research and theory from the disciplines that provide the foundations of neural network research: neurobiology, physics, computer science, electrical engineering, mathematics, and psychology. An Introduction to Neural and Electronic Networks, Second Edition shows how neural networks and neurocomputing represent radical departures from conventional approaches to digital computers, in terms of algorithms as well as architecture. This Second Edition contains new chapters on computational models of hippocampal and cerebellar function, nonlinear information processing, adaptive filtering and pattern recognition, and digital VLSI architecture. Its strong interdisciplinary emphasis will appeal to a wide array of researchers and students - from neurobiologists to psychologists.
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Product details

  • Hardback | 500 pages
  • 190 x 235 x 32mm | 1,153g
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • Revised
  • 2nd Revised edition
  • line drawings
  • 0127818820
  • 9780127818825

Table of contents

Neurobiological Substrates: Reverse Engineering the Nervous System. Brains and Their Applications. Information Processing Strategies and Pathways in the Primate Visual System. A Neurocomputational Theory of Hippocampal Function in Stimulus Representation and Learning. A Computational Model of the Cerebellum and Motor-Reflex Conditioning. The Design of Intelligent Robots as a Federation of Geometric Machines. New Approaches to Nonlinear Concepts in Neural Information Processing. Emulated and Simulated Systems: Neural Computation of Visual Images. Models of the Neural Basis of Insect Behaviour. A Silicon Model of Auditory Localization. Selective Recognition Automata. An Overview of Neural Networks. Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition. Electronic Networks: A Construction Set for Silicon Neurons. VLSI Implementation of Neural Networks. Smart Vision Chips. A Digital VLSI Architecture for Real World Applications. Synthetic Neural Systems in the 90's. Computational and Mathematical Considerations: Covariance Storage in the Hippocampus. Computation of Motion By Neurons. Brain Style Computation. Network Self-Organisation in the Ontogenesis of the Mammalian Visual System. A Neural Network Architecture for Autonomous Learning, Recognition and Prediction in a Nonstationary World. Author Index, Subject Index
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About Steven F. Zornetzer

Edited by Steven F. Zornetzer, Clifford Lau, Thomas M. McKenna and Joel L. Davis
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Review quote

"AThis book is good value, especially in paperback form, and will be of particular interest to those interested in both neurobiology and in the technological applications and implementations of neural computation. NETWORK This volume is a collection of papers on neural networkd (real and artificial) edited by staff members of the Office of Naval Research (ONR). ONR has been a major supporter of research in this area for many years and the editors have directly overseen some of the work described in this book, making them especially qualified to organize this collection. The chapters themselves are authored by talented individuals in neuroscience, engineering, physics, psychology, computer science and mathematics, making the books genuinely multidisciplinary in nature... This collection of papers does provide a good intermediate-level introduction to many important research topics in neuroscience and engineering, and would be quite useful to individuals interested in those areas. SIGART BULLETIN
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