The Computational Brain

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Overview

How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. The
Computational Brain
is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework.

Computer models constrained by neurobiological data can help reveal how
-- networks of neurons subserve perception and behavior -- bow their physical interactions can yield global results in perception and behavior, and how their physical properties are used to code information and compute solutions. The Computational Brain focuses mainly on three domains: visual perception, learning and memory, and sensorimotor integration. Examples of recent computer models in these domains are discussed in detail, highlighting strengths and weaknesses, and extracting principles applicable to other domains. Churchland and Sejnowski show how both abstract models and neurobiologically realistic models can have useful roles in computational neuroscience, and they predict the coevolution of models and experiments at many levels of organization, from the neuron to the system.

The Computational
Brain
addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a précis of neurobiological techniques.

The
Computational Brain
is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and
Sejnowski address the foundational ideas of the emerging field of computational neuroscience,
examine a diverse range of neural network models, and consider future directions of the field.

A Bradford Book

Computational Neuroscience series

The MIT Press

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Editorial Reviews

Booknews
Computational neuroscience is an approach to understanding the information content of neural signals by modeling the nervous system. In this well written, lively text Churchland and Sejnowski address the foundational ideas of this emerging field, examine a diverse range of neural network models, and consider future directions. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Bruce Bridgeman
...[T[he volume stands as a significant achievement in bringing the technically challenging world of distributed modeling to the non-specialist reader, and in intelligently integrating PDP modeling into neurophysiology.
Psyche
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Product Details

  • ISBN-13: 9780262031882
  • Publisher: MIT Press
  • Publication date: 6/12/1992
  • Series: Computational Neuroscience
  • Pages: 558
  • Product dimensions: 6.90 (w) x 9.80 (h) x 1.30 (d)

Meet the Author

Patricia Smith Churchland is UC President's Professor of Philosophy at the University of
California, San Diego, and Adjunct Professor at the Salk Institute.

Terrence J. Sejnowski is Francis Crick Professor, Director of the Computational Neurobiology
Laboratory, and a Howard Hughes Medical Institute Investigator at the Salk Institute for Biological
Studies and Professor of Biology at the University of California, San Diego.

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Table of Contents

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