Weakly Connected Neural Networks
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, an...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
1997, 1997
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| Edition: | 1st ed. 1997 |
| Series: | Applied Mathematical Sciences
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
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