Introduction to neural dynamics and signal transmission delay /
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| Author / Creator: | Wu, Jianhong. |
|---|---|
| Imprint: | Berlin ; New York : Walter de Gruyter, 2001. |
| Description: | x, 182 p. : ill. ; 25 cm. |
| Language: | English |
| Series: | De Gruyter series in nonlinear analysis and applications ; 6 |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/4424164 |
Table of Contents:
- 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 Theorem
- 4. 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 oscillations
- 5.7. Effect of delay on the basin of attraction
- 5.8. Synchronized activities
- 5.9. Desynchronization, phase-locked oscillation and connecting orbits
- Bibliography
- Index
