Weakly connected neural networks
Author(s)
Bibliographic Information
Weakly connected neural networks
（Applied mathematical sciences, v. 126）
Springer, c1997
- : hardcover
- : pbk
Available at / 73 libraries
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University of Miyazaki Library/ Library Director:Ikari Tetsuo図
: hardcover007.13||H86||00424613
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Note
Includes bibliographical references (p. [381]-393) and index
Description and Table of Contents
Description
Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as the major tools of analysis. It presents a systematic and well motivated development of both weakly connected system theory and mathematical neuroscience, addressing bifurcations in neuron and brain dynamics, synaptic organisations of the brain, and the nature of neural codes. The authors present classical results together with the most recent developments in the field, making this a useful reference for researchers and graduate students in various branches of mathematical neuroscience.
Table of Contents
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.
by "Nielsen BookData"