Weakly Connected Neural Networks / Edition 1 by Frank C. Hoppensteadt, Eugene M. Izhikevich | | 9780387949482 | Hardcover | Barnes & Noble
Weakly Connected Neural Networks / Edition 1

Weakly Connected Neural Networks / Edition 1

by Frank C. Hoppensteadt, Eugene M. Izhikevich
     
 

ISBN-10: 0387949488

ISBN-13: 9780387949482

Pub. Date: 06/04/2008

Publisher: Springer New York

This book develops the bifurcation theory for weakly connected neural networks. The authors analyze the relationship between synaptic organizations (anatomy) and dynamical properties (function) of the brain. In particular the authors show that there are some synaptic organizations that have especially rich dynamic behavior.

Overview

This book develops the bifurcation theory for weakly connected neural networks. The authors analyze the relationship between synaptic organizations (anatomy) and dynamical properties (function) of the brain. In particular the authors show that there are some synaptic organizations that have especially rich dynamic behavior.

Product Details

ISBN-13:
9780387949482
Publisher:
Springer New York
Publication date:
06/04/2008
Series:
Applied Mathematical Sciences Series, #126
Edition description:
1997
Pages:
402
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

Related Subjects

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.

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