Models of Neural Networks III: Association, Generalization, and Representation (Physics of Neural Networks) : Association, Generalization, and Representation

Language: English

Published by SPRINGER NATURE, 1995

0387943684 / 9780387943688

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Gebraucht - Sehr gut SG -leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - One of the most challenging and fascinating problems of the theory of neural nets is that of asymptotic behavior, of how a system behaves as time proceeds. This is of particular relevance to many practical applications. Here we focus on association, generalization, and representation. We turn to the last topic first. The introductory chapter, 'Global Analysis of Recurrent Neural Net works,' by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding. It includes a review of the recent work with John Hopfield on integrate-and fire neurons with local interactions. The chapter, 'Receptive Fields and Maps in the Visual Cortex: Models of Ocular Dominance and Orientation Columns' by Ken Miller, explains how the primary visual cortex may asymptotically gain its specific structure through a self-organization process based on Hebbian learning. His argu ment since has been shown to be rather susceptible to generalization.

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Title
Models of Neural Networks III: Association, Generalization, and Representation (Physics of Neural Networks) : Association, Generalization, and Representation
Author
Eytan Domany
Publisher
SPRINGER NATURE
Publication year
1995
Condition
Sehr gut
Binding
Gebundene Ausgabe
Language
English
ISBN 10
0387943684
ISBN 13
9780387943688
Item weight
633 grams
Dimensions
241x161x25 mm

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