An edition of Weakly connected neural networks
(1997)
Weakly connected neural networks
by F. C. Hoppensteadt
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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.
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Includes bibliographical references (p. [381]-393) and index.
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| July 12, 2024 | Edited by MARC Bot | import existing book |
| February 26, 2022 | Edited by ImportBot | import existing book |
| April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
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