The Handbook of Brain Theory and Neural Networks, Second Edition

The Handbook of Brain Theory and Neural Networks, Second Edition

Edited by Michael A. Arbib

A new, dramatically updated edition of the classic resource on the constantly evolving fields of brain theory and neural networks.

A Bradford Book





A new, dramatically updated edition of the classic resource on the constantly evolving fields of brain theory and neural networks.

Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines?

Once again, the heart of the book is a set of almost 300 articles covering the whole spectrum of topics in brain theory and neural networks. The first two parts of the book, prepared by Michael Arbib, are designed to help readers orient themselves in this wealth of material. Part I provides general background on brain modeling and on both biological and artificial neural networks. Part II consists of "Road Maps" to help readers steer through articles in part III on specific topics of interest. The articles in part III are written so as to be accessible to readers of diverse backgrounds. They are cross-referenced and provide lists of pointers to Road Maps, background material, and related reading.

The second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. It contains 287 articles, compared to the 266 in the first edition. Articles on topics from the first edition have been updated by the original authors or written anew by new authors, and there are 106 articles on new topics.


$225.00 X ISBN: 9780262011976 1308 pp. | 8.5 in x 11 in 1,000 illus.


Michael A. Arbib

Michael Arbib has played a leading role at the interface of neuroscience and computer science ever since his first book, Brains, Machines, and Mathematics. From Neuron to Cognition provides a worthy pedagogical sequel to his widely acclaimed Handbook of Brain Theory and Neural Networks. After thirty years at University of Southern California he is now pursuing interests in “how the brain got language” and “neuroscience for architecture” in San Diego.


  • Today, neuroscience gives us great dual hopes, one to radically solve medical problems of the brain such as Arzheimer's disease, and the other to give an answer to the long-standing question of how the brain works to yield our mind. Medical achievements will be obtained based on accumulated knowledge of molecular and cellular events of the brain, but the understanding of the brain mechansims of mental activities requires theories and models. This handbook summerizes the success of neuroscience in developing such theories and models, and further provides a basis for future achievements toward the goal. It will help not only theorists, but also experimentalists to grasp the great potentially of theories and models in future neuroscience.

    Masao Ito

    Director-General, Frontier Research Program, The Institute of Physical and Chemical Research

  • No existing work comes close to covering the same range of topics in such an authoritative way. The editor has gone far beyond the usual collection of articles in providing roadmaps and cross-references for each topic. Judging from the articles that I have read and from the list of authors, the Handbook will become an invaluable resource to a wide range of researchers.

    Professor Jerry A. Feldman

    International Computer Science Institute and University of California

  • It's been a half century since such pioneers as Warren McCulloch and Donald Hebb, and, particularly in the last decade, brain theory has been in flower, intertwining with both neurophysiology and artificial neural networks. Boiling it down and concentrating it, as this handbook does so successfully,is likely to set the stage for something even more interesting.

    William H. Calvin

    University of Washington neurophysiologist, author of The Ascent of Mind and co-author of Conversations with Neil's Brain

  • At long last neural computation, as a wide interdisciplinary field, has found its universal, intellectual home. Under one roof we have all that we wanted to know from the biological to the matehmatical, from experiment to theory, from applications to abstract models, from robots to philosophy.

    Daniel Amit

    Professor at the University of Rome and the university of Jerusalem; author of Modeling Brain Fuction

  • The awesome product of an awesome task, this book will take us into the 21st Century with a wide and enlightened overview of computational neuroscience—and a healthy respect for the constraints that the real brain imposes on our models. Arbib has done what urgently needed to be done and what probably no one else could do.

    Joaquin M. Fuster

    Professor of Psychiatry and Biobehavioral Sciences, School of Medicine, University of California

  • This revised Handbook of Brain Theory provides useful new data and and updates key concepts in neuroscience. It will be an indispensable guide for exploring the essentials of brain science.

    Masao Ito

    RIKEN Brain Science Institute