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Neural Network Models of Conditioning and Action (Hardcover) Loot Price: R4,433
Discovery Miles 44 330
Neural Network Models of Conditioning and Action (Hardcover): Michael L. Commons, Stephen Grossberg, John Staddon

Neural Network Models of Conditioning and Action (Hardcover)

Michael L. Commons, Stephen Grossberg, John Staddon

Series: Psychology Library Editions: Cognitive Science

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Loot Price R4,433 Discovery Miles 44 330 | Repayment Terms: R415 pm x 12*

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Originally published in 1991, this title was the result of a symposium held at Harvard University. It presents some of the exciting interdisciplinary developments of the time that clarify how animals and people learn to behave adaptively in a rapidly changing environment. The contributors focus on aspects of how recognition learning, reinforcement learning, and motor learning interact to generate adaptive goal-oriented behaviours that can satisfy internal needs - an area of inquiry as important for understanding brain function as it is for designing new types of freely moving autonomous robots. Since the authors agree that a dynamic analysis of system interactions is needed to understand these challenging phenomena - and neural network models provide a natural framework for representing and analysing such interactions - all the articles either develop neural network models or provide biological constraints for guiding and testing their design.

General

Imprint: Routledge
Country of origin: United Kingdom
Series: Psychology Library Editions: Cognitive Science
Release date: June 2016
First published: 1991
Editors: Michael L. Commons • Stephen Grossberg • John Staddon
Dimensions: 234 x 156mm (L x W)
Format: Hardcover
Pages: 384
ISBN-13: 978-1-138-19204-1
Categories: Books > Social sciences > Psychology > Cognition & cognitive psychology > General
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal behaviour
LSN: 1-138-19204-X
Barcode: 9781138192041

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