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Neural networks and brain function

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Neural networks and brain function/ Edmund T. Rolls and Alessandro Treves.
作者:	Rolls, Edmund T.
其他作者:	Treves, Alessandro.
出版者:	Oxford ;Oxford University Press,1998.
面頁冊數:	1 online resource (vi, 418 pages) :illustrations
標題:	Neural networks (Neurobiology) -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0585484031
ISBN:	9780585484037
ISBN:	1280375256
ISBN:	9781280375255

Neural networks and brain function
Rolls, Edmund T.

Neural networks and brain function[electronic resource] /Edmund T. Rolls and Alessandro Treves. - Oxford ;Oxford University Press,1998. - 1 online resource (vi, 418 pages) :illustrations

Includes bibliographical references (pages 371-413) and index.

Cover -- Preface -- Contents -- Notation -- 1 Introduction -- 2 Pattern association memory -- 3 Autoassociation memory -- 4 Competitive networks, including self-organizing maps -- 5 Error-correcting networks: perceptrons, the delta rule, backpropagation of error in multilayer networks, and reinforcement learning algorithms -- 6 The hippocampus and memory -- 7 Pattern association in the brain: amygdala and orbitofrontal cortex -- 8 Cortical networks for invariant pattern recognition -- 9 Motor systems: cerebellum and basal ganglia -- 10 Cerebral neocortex -- Appendices -- A1 Introduction to linear algebra for neural networks -- A2 Information theory -- A3 Pattern associators -- A4 Autoassociators -- A5 Recurrent dynamics -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W.

The aim of this book is to describe the types of computation that can be performed by biologically plausible neural networks, and to show how these may be implemented in different systems in the brain. "Neural Networks and Brain Function" is structured in three sections, each of which addresses a different need in the market. The first section introduces and describes the operation of several fundamental types of neural network. The second section describes real neural networks in several brain systems, and shows how it is becoming possible to construct theories about how some parts of the brain work; it also provides an indication of the different neuroscience and neurocomputation techniques that will need to be combined to ensure further rapid progress in understanding how parts of the brain work. The third section, a collection of appendices, introduces the more formal quantitative approaches to many of the networks described. This is a clearly written and thoughtfully structured introduction to a fascinating and complex field of neuroscience.; It will be a key text for researchers, graduate students and advanced undergraduates in the field, particularly for those without a background in computer science.

ISBN: 0585484031Subjects--Topical Terms:

158261
Neural networks (Neurobiology)
Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: QP363.3 / .R65 1998eb

Dewey Class. No.: 612.8/2

National Library of Medicine Call No.: 1997 L-726

Neural networks and brain function
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520 $a The aim of this book is to describe the types of computation that can be performed by biologically plausible neural networks, and to show how these may be implemented in different systems in the brain. "Neural Networks and Brain Function" is structured in three sections, each of which addresses a different need in the market. The first section introduces and describes the operation of several fundamental types of neural network. The second section describes real neural networks in several brain systems, and shows how it is becoming possible to construct theories about how some parts of the brain work; it also provides an indication of the different neuroscience and neurocomputation techniques that will need to be combined to ensure further rapid progress in understanding how parts of the brain work. The third section, a collection of appendices, introduces the more formal quantitative approaches to many of the networks described. This is a clearly written and thoughtfully structured introduction to a fascinating and complex field of neuroscience.; It will be a key text for researchers, graduate students and advanced undergraduates in the field, particularly for those without a background in computer science.
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