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Handbook of Brain Theory and Neural Networks First Edition Edition

6 customer reviews
ISBN-13: 978-0262011488
ISBN-10: 0262011484
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Editorial Reviews

Review

"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 InstitutePlease note: This quote is for promotional materials only, not for the book jacket.

--This text refers to an alternate Hardcover edition.

About the Author

Michael A. Arbib is University Professor; Fletcher Jones Professor of Computer Science; and Professor of Neuroscience, Biomedical Engineering, Electrical Engineering, and Psychology at the University of Southern California.

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Product Details

  • Hardcover: 1136 pages
  • Publisher: The MIT Press; First Edition edition (June 8, 1995)
  • Language: English
  • ISBN-10: 0262011484
  • ISBN-13: 978-0262011488
  • Product Dimensions: 11.2 x 8.8 x 2.2 inches
  • Shipping Weight: 6.5 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #744,110 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

1 of 1 people found the following review helpful By Dr. Lee D. Carlson HALL OF FAMEVINE VOICE on June 3, 2001
Format: Hardcover Verified Purchase
Review of Second Edition (January 2008):

This sizable collection of articles updates the first volume with many discoveries and conceptual developments that were unknown at the time. Meant of course for reference, a typical reader, such as this reviewer, would probably not read every article in the collection but would instead concentrate on the ones of primary interest. The editor however does offer advice on "how to use this book" at the beginning of the book, for those readers who intend to use it as their primary source of information, or for instructors who will use it as a supplement to such classes as brain theory, artificial intelligence, computational neuroscience, and cognitive neuroscience. All of these topics are represented, with emphasis of course on those that the editor finds important. Time constraints will of course play in role in any sampling algorithm for the articles, but every article that was studied by this reviewer was well worth the time spent.

One of these articles, written by the editor, gave an overview of his work on the `mirror system hypothesis' (MSH). This work has been widely discussed in the literature on evolutionary linguistics since the first edition of this book, and when confronting it for the first time may seem like a radical hypothesis. Such skepticism is aggravated by the lack of any historical record for the structure of the brain, and so any theories on language evolution will remain more tentative as compared to other scientific theories. The editor though wants the reader to consider evidence for the mirror system hypothesis that is drawn from existing life forms.
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1 of 1 people found the following review helpful By Amazon Customer on October 10, 2008
Format: Hardcover
For those fascinated with Neural Network Theory, this book is a comprehensive compendium of some of the best papers published in the subject. So far it is one of the best volumes in Neural Networks that I have seen, and a well thought paper compilation.
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Format: Hardcover Verified Purchase
The articles in this work are written by a who's who list of authors from the cognitive and computational neuroscience community. Each article is useful for getting an initial bearing on a topic from this dynamic field. The references for each article serve as useful "jumping off points" for further learning. It should be noted that this text is not a typical college textbook -- it is a reference work. As such, a beginner to the field should consider one of the other introductory textbooks (perhaps "The Cognitive Neurosciences").
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