Parallel processing in neural systems and computers

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Bibliographic Information

Parallel processing in neural systems and computers

edited by Rolf Eckmiller, Georg Hartmann, Gert Hauske

North-Holland , Elsevier Science Pub. Co., 1990

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Note

"A selection of ... papers of the International Conference on Parallel Processing in Neural Systems and Computers (ICNC) held in Düsseldorf (FRG) from 19 to 21 March 1990"--Pref.

Bibliography: p. 549-597

Includes index

Description and Table of Contents

Description

The 119 contributions in this book cover a range of topics, including parallel computing, parallel processing in biological neural systems, simulators for artificial neural networks, neural networks for visual and auditory pattern recognition as well as for motor control, AI, and examples of optical and molecular computing. The book may be regarded as a state-of-the-art report and at the same time as an `Interdisciplinary Reference Source' for parallel processing. It should catalyze international and interdisciplinary cooperation among computer scientists, neuroscientists, physicists and engineers in the attempt to: 1) decipher parallel information processes in biology, physics and chemistry 2) design conceptually similar technical parallel information processors.

Table of Contents

General Introduction. Development and Application of Parallel Computers. New Concepts of Information Processing in the Brain. Parallel Processing in the Visual System. Self-Organization and Learning in Neural Networks. Evaluation of Artificial Neural Networks. Hardware and Software Simulators for Neural Networks. Neural Networks for Visual Pattern Recognition. Neural Networks for Auditory Pattern Recognition. Neural Networks for Motor Control. Selected Applications for Neural Networks. Parallel Processing in Artificial Intelligence. Optical and Molecular Computing. Indices. References. Invited Papers: Neuroinformatics and Cybernetics (G. Hauske). Processing of Figure and Background Motion in the Visual System of the Fly (W. Reichardt). Internal Representations and Associative Memory (T. Kohonen). Neural Network Models for Visual Pattern Recognition (K. Fukushima). Adaptive Resonance Theory: Neural Network Architectures for Self-Organizing Pattern Recognition (G.A. Carpenter, S. Grossberg). Recognition of Patterns and Movement Patterns by a Synergetic Computer (H. Haken). Parallel Process Interfaces to Knowledge Systems (K.H. Becks, W. Burgard, A.B. Cremers, A. Hemker, A. Ultsch). Apparent Motion and Other Mysteries (J.A. Feldman). Novel Logic and Architectures for Molecular Computing (J.R. Barker). New Laser Techniques for Quasi-Molecular Storage (D. Haarer). Learning in Optical Neural Networks (D. Psaltis, D. Brady, K. Hsu).

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