Weakly connected neural networks
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Author
Contributions
- Izhikevich, Eugene M. - Contributor
Publication
1997 - Springer, New York, New York (State)
Language
English
Word Count
100,000 words, Guess
Page Count
400 pages
Identifiers
- Open LibraryOL668526M
- ISBN-100387949488
- OCLC Control Number36727848
- OCLC Control Numberweaklyconnectedn00hopp
- Library of Congress Control Number97014324
and 2 more
- LibraryThing2741086
- Goodreads1673655
Classifications
- DDC006.3/2
- LCCQA1 .A647 vol. 126
- LCCQA76.87 .A647 vol. 126
Description
Weakly Connected Neural Networks is devoted to local and global analysis of weakly connected systems with applications to neurosciences. Using bifurcation theory and canonical models as the major tools of analysis, it presents systematic and well-motivated development of both weakly connected system theory and mathematical neuroscience. Weakly Connected Neural Networks will be useful to researchers and graduate students in various branches of mathematical neuroscience.
Subjects
Series Statement
- Applied mathematical sciences ;
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