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Introduction to neural dynamics and signal transmission delay /
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin ; New York :
Walter de Gruyter,
2001.
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| Colección: | De Gruyter series in nonlinear analysis and applications.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Preface
- 1 The structure of neural networks
- 1.1 The structure of a single neuron
- 1.2 Transmission of neural signals
- 1.3 Neural circuits, CNS and ANN
- 2 Dynamic models of networks
- 2.1 Biological models
- 2.2 Signal functions
- 2.3 General models and network architectures
- 3 Simple networks
- 3.1 Outstars: pattern learning
- 3.2 Instars: pattern recognition
- 3.3 Lateral inhibition: noise-saturation dilemma
- 3.4 Recurrent ON-CTR OFF-SUR networks: signal enhancement and noise suppression
- 3.5 Determining synaptic weights
- Appendix. Grossberg�s Learning Theorem4 Content-addressable memory storage
- 4.1 Parallel memory storage by competitive networks
- 4.2 Convergence in networks with a nonsymmetric interconnection matrix
- 4.3 Implementation of CAM: Hopfield networks
- 4.4 Generic convergence in monotone networks
- 5 Signal transmission delays
- 5.1 Neural networks with delay and basic theory
- 5.2 Global stability analysis
- 5.3 Delay-induced instability
- 5.4 Hopf bifurcation of periodic solutions
- 5.5 A network of two neurons: McCulloch-Pitts nonlinearity
- 5.6 Delay-induced transient oscillations5.7 Effect of delay on the basin of attraction
- 5.8 Synchronized activities
- 5.9 Desynchronization, phase-locked oscillation and connecting orbits
- Bibliography
- Index