Weakly connected neural networks/ Frank C. Hoppensteadt and Eugene M. Izhikevich

By: Hoppensteadt, Frank CContributor(s): Izhikevich, Eugene MMaterial type: TextTextSeries: (Applied mathematical sciences) ; v. 126Publication details: New York: Springer, 1997Description: xvi, 400 p. : ill. ; 25 cmISBN: 9780387949482Subject(s): Neural networks | Neurosciences | MathematicsDDC classification: 510
Contents:
I. Introduction 1. Introduction 2. Bifurcations in Neuron Dynamics 3. Neural Networks 4. Introduction to Canonical Models II. Derivation of 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 III. Analysis of Canonical Models 10. Multiple Andronov-Hopf Bifurcation 11. Multiple Cusp Bifurcation 12. Quasi-Static Bifurcations 13. Synaptic Organizations of the Brain.
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Item type Current library Call number Status Date due Barcode Item holds
General Books General Books Central Library, Sikkim University
General Book Section
510 HOP/ (Browse shelf(Opens below)) Available P25264
Total holds: 0

I. Introduction
1. Introduction
2. Bifurcations in Neuron Dynamics
3. Neural Networks
4. Introduction to Canonical Models
II. Derivation of 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
III. Analysis of Canonical Models
10. Multiple Andronov-Hopf Bifurcation
11. Multiple Cusp Bifurcation
12. Quasi-Static Bifurcations
13. Synaptic Organizations of the Brain.

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