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Weakly connected neural networks / Frank C. Hoppensteadt, Eugene M. Izhikevich.

Math/Physics/Astronomy Library QA1 .A647 v.126
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LIBRA QA1 .A647 v.126
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Format:
Book
Author/Creator:
Hoppensteadt, Frank C. (Frank Charles), 1938-
Contributor:
Izhikevich, Eugene M.
Series:
Applied mathematical sciences (Springer-Verlag New York Inc.) ; v. 126.
Applied mathematical sciences (Springer-Verlag New York Inc.)
Language:
English
Subjects (All):
Neural networks (Computer science).
Physical Description:
xvi, 400 pages : illustrations ; 25 cm.
Place of Publication:
New York : Springer, [1997]
Summary:
This book develops the bifurcation theory for weakly connected neural networks. The authors analyze the relationship between synaptic organizations (anatomy) and dynamical properties (function) of the brain. In particular the authors show that there are some synaptic organizations that have especially rich dynamic behavior.
Notes:
Includes bibliographical references (pages [381]-393) and index.
ISBN:
0387949488
OCLC:
36727848

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