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Weakly connected neural networks / Frank C. Hoppensteadt, Eugene M. Izhikevich.
Math/Physics/Astronomy Library QA1 .A647 v.126
Available
LIBRA QA1 .A647 v.126
Available from offsite location
- Format:
- Book
- Author/Creator:
- Hoppensteadt, Frank C. (Frank Charles), 1938-
- 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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