An Introduction to Neural and Electronic Networks
- 2nd Edition - May 18, 1995
- Latest edition
- Editors: Steven F. Zornetzer, Thomas M. McKenna, Clifford Lau, Joel L. Davis
- Language: English
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… Read more
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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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* Written by the leading researchers in neural networks
* Provides an intermediate-level introduction to many important research topics in neuroscience and engineering
* Emphasizes two main areas:
* Computational neuroscience, with coverage of mathematical models of specific regions of the brain, such as the hippocampus, the visual system, the sensory neocortex, and the oflactory cortex
* Engineering hardware models of neural networks, including discussions of VLSI and optical modeling principles, holography, and resistive networks
* Captures the flavor of a successcul interdisciplinary approach to the neural network enterprise
* Written by the leading researchers in neural networks
* Provides an intermediate-level introduction to many important research topics in neuroscience and engineering
* Emphasizes two main areas:
* Computational neuroscience, with coverage of mathematical models of specific regions of the brain, such as the hippocampus, the visual system, the sensory neocortex, and the oflactory cortex
* Engineering hardware models of neural networks, including discussions of VLSI and optical modeling principles, holography, and resistive networks
* Captures the flavor of a successcul interdisciplinary approach to the neural network enterprise
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
- Edition: 2
- Latest edition
- Published: May 18, 1995
- Language: English
SZ
Steven F. Zornetzer
Affiliations and expertise
Office of Naval ResearchTM
Thomas M. McKenna
Affiliations and expertise
Office of Naval ResearchCL
Clifford Lau
Affiliations and expertise
Office of Naval ResearchJD
Joel L. Davis
Affiliations and expertise
Office of Naval Research