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Suppression of Chaos and Phase Locking in Two Coupled Nonidentical Neurons under Periodic Input
引用本文:郑艳红 陆启韶 王青云. Suppression of Chaos and Phase Locking in Two Coupled Nonidentical Neurons under Periodic Input[J]. 中国物理快报, 2006, 23(12): 3176-3179
作者姓名:郑艳红 陆启韶 王青云
作者单位:[1]School of Science, Beijing University of Aeronautics and Astronautics, Beijing 100083 [2]School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007 [3]Inner Mongolia Finance and Economics College, Huhhot 010051
基金项目:Supported by the National Natural Science Foundation of China under Grant No 10432010.
摘    要:

关 键 词:锁相 混沌抑制 非全同耦合神经元 周期性输入 非线性科学
收稿时间:2006-09-12
修稿时间:2006-09-12

Suppression of Chaos and Phase Locking in Two Coupled Nonidentical Neurons under Periodic Input
ZHENG Yan-Hong,LU Qi-Shao,WANG Qing-Yun. Suppression of Chaos and Phase Locking in Two Coupled Nonidentical Neurons under Periodic Input[J]. Chinese Physics Letters, 2006, 23(12): 3176-3179
Authors:ZHENG Yan-Hong  LU Qi-Shao  WANG Qing-Yun
Affiliation:1.School of Science, Beijing University of Aeronautics and Astronautics, Beijing 100083 ;2.School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007;3.Inner Mongolia Finance and Economics College, Huhhot 010051
Abstract:Dynamical behaviour of two coupled neurons with at least one of them being chaotic is presented. Bifurcation diagrams and Lyapunov exponents are calculated to diagnose the dynamical behaviour of the coupled neurons with the increasing coupling strength. It is found that when the coupling strength increases, a chaotic neuron can be controlled by the coupling between neurons. At the same time, phase locking is studied by the maxima of the differences of instantaneous phases and average frequencies between two coupled neurons, and the inherent connection of phase locking and the suppression of chaos is formulated. It is observed that the onset of phase locking is closely related to the suppression of chaos. Finally, a way for suppression of chaos in two coupled nonidentical neurons under periodic input is suggested.
Keywords:05. 45. Gg  05. 45. Xt  87. 17. Nn
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