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.

The Handbook of Brain Theory and Neural Networks: Second Edition PDF

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