Stability analysis and rich oscillation patterns in discrete-time FitzHugh-Nagumo excitable systems with delayed coupling

被引:2
|
作者
Wang, Xiujuan [1 ,2 ]
Peng, Mingshu [1 ]
Cheng, Ranran [1 ]
Yu, Jinchen [1 ,3 ]
机构
[1] Beijing Jiao Tong Univ, Dept Math, Beijing 100044, Peoples R China
[2] Weifang Univ, Weifang 261061, Shangdong, Peoples R China
[3] Shandong Jiaotong Univ, Jinan 250023, Peoples R China
基金
中国国家自然科学基金;
关键词
Neural network models; Delay; Stability; Bifurcations; Synchronization/asynchronization; Chaos; BIFURCATION; NETWORKS; NEURONS; MODEL;
D O I
10.1007/s11071-014-1587-7
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, we give a detailed study of the stable region in discrete-time FitzHugh-Nagumo delayed excitable Systems, which can be divided into two parts: one is independent of delay and the other is dependent on delay. Two different new states are to be observed, which are new steady states (equilibria-the excitable FitzHugh-Nagumo) or limit cycles/higher periodic orbits (the FitzHugh-Nagumo oscillators) as the origin loses its stability, and usually, one is synchronized and the other asynchronized. We also find out that there exist critical curves through which there occur fold bifurcations, flip bifurcations, Neimark-Sacker bifurcations and even higher-codimensional bifurcations etc. It is also shown that delay can play an important role in rich dynamics, such as the occurrence of chaos or not, by means of Lyapunov exponents, Lyapunov dimensions, and the sensitivity to the initial conditions. Multistability phenomena are also discussed including the coexistence of synchronized and asynchronized oscillators, or synchronized/asynchronized oscillators and multiple stable nontrivial equilibria etc.
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页码:2085 / 2099
页数:15
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