Weakly connected neural networks/ Frank C. Hoppensteadt and Eugene M. Izhikevich
Material type: TextSeries: (Applied mathematical sciences) ; v. 126Publication details: New York: Springer, 1997Description: xvi, 400 p. : ill. ; 25 cmISBN: 9780387949482Subject(s): Neural networks | Neurosciences | MathematicsDDC classification: 510Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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General Books | Central Library, Sikkim University General Book Section | 510 HOP/ (Browse shelf(Opens below)) | Available | P25264 |
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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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