Weakly Connected Neural Networks
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Author
Contributions
- Izhikevich, Eugene M. - Contributor
Publication
1997 - Springer New York, New York, NY, New York (State)
Language
English
Word Count
100,000 words, Guess
Page Count
400 pages
Physical Format
[electronic resource] /
Identifiers
- Open LibraryOL27095294M
- ISBN-139781461218289
- ISBN-101461218284
- OCLC Control Number840278238
- OCLC Control Numberweaklyconnectedn00hopp_990
Classifications
- DDC515
- LCCQA299.6-433
Description
This book 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. Bifurcations in neuron and brain dynamics, synaptic organizations of the brain, and the nature of neural codes are among the many important issues addressed. The authors offer the reader classical results as well as some of the most recent developments in the field. The book will be useful to researchers and graduate students in various branches of mathematical neuroscience.
Subjects
Series Statement
- Applied Mathematical Sciences, 0066-5452 -- 126
Links
Other Editions
- Weakly Connected Neural Networks
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