Weakly connected neural networks/
Frank C. Hoppensteadt and Eugene M. Izhikevich
- New York: Springer, 1997.
- xvi, 400 p. : ill. ; 25 cm.
- (Applied mathematical sciences) v. 126 .
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.