Handbook of Brain Theory and Neural Networks

Handbook of Brain Theory and Neural Networks


Choice striking educational identify, 1996.

In 1000's of articles through specialists from worldwide, and in overviews and "road maps" ready by means of the editor, The instruction manual of mind concept and Neural Networks charts the titanic growth made in recent times in lots of particular parts regarding nice questions: How does the mind paintings? and the way will we construct clever machines?

whereas many books have seemed on constrained facets of 1 subfield or one other of mind idea and neural networks, the Handbook covers the complete sweep of topics—from exact versions of unmarried neurons, analyses of a wide selection of organic neural networks, and connectionist reports of psychology and language, to mathematical analyses of various summary neural networks, and technological functions of adaptive, synthetic neural networks.

the thrill, and the disappointment, of those subject matters is they span this type of huge diversity of disciplines together with arithmetic, statistical physics and chemistry, neurology and neurobiology, and machine technological know-how and electric engineering in addition to cognitive psychology, synthetic intelligence, and philosophy. hence, a lot attempt has long past into making the Handbook obtainable to readers with assorted backgrounds whereas nonetheless offering a transparent view of a lot of the hot, really expert examine in particular topics.

the center of the publication, half III, includes of 267 unique articles by way of leaders within the a variety of fields, prepared alphabetically by means of name. components I and II, written by way of the editor, are designed to assist readers orient themselves to this mammoth variety of fabric. half I, Background, introduces a number of uncomplicated neural versions, explains how the current examine of mind idea and neural networks integrates mind conception, synthetic intelligence, and cognitive psychology, and gives an instructional at the ideas crucial for knowing neural networks as dynamic, adaptive structures. half II, Road Maps, offers access into the various articles of half III via an introductory "Meta-Map" and twenty-three highway maps, each one of which excursions the entire half III articles at the selected subject matter.

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