Spatio-temporal patterns of Hopf bifurcating periodic oscillations in a pair of identical tri-neuron network loops

Spatio-temporal patterns of Hopf bifurcating periodic oscillations in a pair of identical tri-neuron network loops
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一对相同三神经元网络循环中 Hopf 分叉周期性振荡的时空模式

DOI:
10.1016/j.cnsns.2011.06.005
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发表时间:
2012-02
期刊:
非线性科学与数值模拟通讯(英文版)
影响因子:
--
通讯作者:
Song, Yongli
Song, Yongli
中科院分区:
其他
文献类型:
--
作者:
Song, Yongli

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近年来,耦合时滞被认为是时滞耦合系统发生相翻转分岔的根源。但是对于耦合时滞如何影响这一现象的分析结果还很缺乏。本文研究了一对具有时滞的全同三神经元网络。利用时滞微分方程的对称分支理论和李群表示理论,研究了耦合时滞诱导的Hopf分支周期振荡的时空模式.对于同步同相或反相振荡的存在,得到了延迟的显式区间、耦合强度和固有响应函数增益的平面区域。我们的研究表明,耦合时间延迟不影响单个神经回路的时空模式,但它对两个回路之间的时空模式有显着的影响。这些分析结果,然后验证了数值模拟。
Recently, the coupling time delay has been considered as the source of the occurrence of the phase-flip bifurcation in time-delay coupled system. But the analytical results of how the coupling time delay affects this phenomenon is still lacking. In this paper, we consider a pair of identical tri-neuron network coupled with time delay. By using the symmetric bifurcation theory of delay differential equations combined with representation theory of Lie groups, we investigate the spatio-temporal patterns of Hopf bifurcating periodic oscillations induced by the coupling time delay. The explicit intervals of delay and the regions in the plane of the coupling strength and the gain of the inherent response function for the existence of synchronized in-phase or anti-phase oscillation are obtained. Our study show that the coupling time delay does not affect the spatio-temporal patterns of the individual neural loop but it has the significant impact on the spatio-temporal patterns between the two loops. These analytic results are then verified by numerical simulations.
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