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An introduction to natural computation

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This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models.

It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models—ranging from neural network learning through reinforcement learning to genetic learning—and situates the various models in their appropriate neural context.

To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.

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Detail Information

Series Title

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Call Number

001 BAL i

Publisher

Cambridge, Mass. : : The MIT Press., 1999

Collation

1 online resource (xxii, 307 pages) :illustrations.

Language

English

ISBN/ISSN

0585087660

Classification

001

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Natural computation.

Specific Detail Info

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Statement of Responsibility

Dana H. Ballard.

Other Information

Cataloger

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Source

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Validator

maya

Digital Object Identifier (DOI)

https://doi.org/10.7551/mitpress/3917.001.0001

Journal Volume

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Journal Issue

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Subtitle

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