Weakly Connected Neural Networks / by Frank C. Hoppensteadt, Eugene M. Izhikevich
(Applied Mathematical Sciences ; 126)
データ種別 | 電子ブック |
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出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 1997 |
本文言語 | 英語 |
大きさ | XVI, 402 p : online resource |
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内容注記 | 1 Introduction 2 Bifurcations in Neuron Dynamics 3 Neural Networks 4 Introduction to Canonical Models 5 Local Analysis of WCNNs 6 Local Analysis of Singularly Perturbed WCNNs 7 Local Analysis of Weakly Connected Maps 8 Saddle-Node on a Limit Cycle 9 Weakly Connected Oscillators 10 Multiple Andronov-Hopf Bifurcation 11 Multiple Cusp Bifurcation 12 Quasi-Static Bifurcations 13 Synaptic Organizations of the Brain References |
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一般注記 | This book is devoted to an analysis of general weakly connected neural networks (WCNNs) that can be written in the form (0.1) m Here, each Xi E IR is a vector that summarizes all physiological attributes of the ith neuron, n is the number of neurons, Ii describes the dynam ics of the ith neuron, and gi describes the interactions between neurons. The small parameter € indicates the strength of connections between the neurons. Weakly connected systems have attracted much attention since the sec ond half of seventeenth century, when Christian Huygens noticed that a pair of pendulum clocks synchronize when they are attached to a light weight beam instead of a wall. The pair of clocks is among the first weakly connected systems to have been studied. Systems of the form (0.1) arise in formal perturbation theories developed by Poincare, Liapunov and Malkin, and in averaging theories developed by Bogoliubov and Mitropolsky |
著者標目 | *Hoppensteadt, Frank C. author Izhikevich, Eugene M. author SpringerLink (Online service) |
件 名 | LCSH:Mathematics LCSH:Neurosciences LCSH:Mathematical analysis LCSH:Analysis (Mathematics) LCSH:Biomathematics FREE:Mathematics FREE:Analysis FREE:Mathematical and Computational Biology FREE:Neurosciences |
分 類 | DC23:515 |
巻冊次 | ISBN:9781461218289 |
ISBN | 9781461218289 |
URL | http://dx.doi.org/10.1007/978-1-4612-1828-9 |
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