Weakly connected neural networks/
Hoppensteadt, Frank C.
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.
9780387949482
Neural networks
Neurosciences
Mathematics
510 / HOP/
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.
9780387949482
Neural networks
Neurosciences
Mathematics
510 / HOP/