Introduction to Neural Dynamics and Signal Transmission Delay Book

	Preface
1	The structure of neural networks	1
1.1	The structure of a single neuron	1
1.2	Transmission of neural signals	2
1.3	Neural circuits, CNS and ANN	7
2	Dynamic models of networks	9
2.1	Biological models	9
2.2	Signal functions	14
2.3	General models and network architectures	16
3	Simple network	24
3.1	Outstars: pattern learning	24
3.2	Instars: pattern recognition	30
3.3	Lateral inhibition: noise-saturation dilemma	34
3.4	Recurrent ON-CTR OFF-SUR networks: signal enhancement and noise suppression	36
3.5	Determining synaptic weights	50
App	Grossberg's Learning Theorem	57
4	Content-addressable memory storage	61
4.1	Parallel memory storage by competitive networks	62
4.2	Convergence in networks with a nonsymmetric interconnection matrix	70
4.3	Implementation of CAM: Hopfield networks	75
4.4	Generic convergence in monotone networks	79
5	Signal transmission delays	88
5.1	Neural networks with delay and basic theory	90
5.2	Global stability analysis	95
5.3	Delay-induced instability	99
5.4	Hopf bifurcation of periodic solutions	105
5.5	A network of two neurons: McCulloch-Pitts nonlinearity	115
5.6	Delay-induced transient oscillations	138
5.7	Effect of delay on the basin of attraction	146
5.8	Synchronized activities	154
5.9	Desynchronization, phase-locked oscillation and connecting orbits	165
	Bibliography	171
	Index	179