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.
Comprehensive text charts the
progress made in recent years in answering the questions 'How does the
brain work?' and 'How can we build intelligent machines?' Articles are
presented in alphabetical order by title. Part one covers background,
part two, brain theory and neural networks, and part three includes the
articles. Previous edition: c1995.
