Introduction to neural and cognitive modeling /

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Bibliographic Details
Author / Creator:Levine, Daniel S.
Imprint:Hillsdale, N.J. : L. Erlbaum Associates, c1991.
Description:xiii, 439 p. : ill. ; 25 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/1294457
Hidden Bibliographic Details
ISBN:0805802673
0805802681 (pbk.)
Notes:Includes bibliographical references (p. 378-413) and index.
Review by Choice Review

The area of neural modeling and computing is an exciting and emerging field. Levine is first to provide an excellent survey of the present activity in this field and his work should be considered as a classic in this area for years to come. Instead of presenting the usual architectures and applications of neural networks as many other books have done, he concentrates on the theoretical foundation of artificial neural networks from diverse paradigms including synaptic plasticity, competition and inhibition, conditioning, coding, and optimization, all seemingly unrelated subjects and yet all somewhat connected. This book was designed to explore the commonality and differences of these concepts with a varied audience. For those interested in building cognitive models, the book can be used as a basis for further research. For psychologists and psychiatrists, it details the human cognitive and decision-making processes. For scientists and engineers, this material supplies ample inspirations for further models. Highly recommended for acquisition in graduate-level and professional libraries.-J. Y. Cheung, University of Oklahoma

Copyright American Library Association, used with permission.
Review by Choice Review