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HOPF-PITCHFORK BIFURCATION ANALYSIS IN A COUPLED FHN NEURONS MODEL WITH DELAY

机译:耦合时滞FHN神经元模型的Hopf-Pitchfork分叉分析

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In this paper, we study a coupled FitzHugh-Nagumo (FHN) neurons model with time delay. The existence conditions on Hopf-pitchfork singularity are given. By selecting the coupling strength and time delay as the bifurcation parameters, and by means of the center manifold reduction and normal form theory, the normal form for this singularity is found to analyze the behaviors of the system. We perform the bifurcation analysis and numerical simulations, and present the bifurcation diagrams. Some interesting phenomena are observed, such as the existence of a stable fixed point, a stable periodic solution, a pair of stable fixed points, and the coexistence of a pair of stable fixed points and a stable periodic solution near the Hopf-pitchfork critical point.
机译:在本文中,我们研究了具有时滞的耦合FitzHugh-Nagumo(FHN)神经元模型。给出了Hopf-干草叉奇异性的存在条件。通过选择耦合强度和时延作为分叉参数,并借助中心流形约简和范式理论,找到了这种奇异的范式来分析系统的行为。我们执行分叉分析和数值模拟,并给出分叉图。观察到一些有趣的现象,例如,存在一个稳定的不动点,一个稳定的周期解,一对稳定的不动点,以及在Hopf-pitchfork临界点附近一对稳定的不动点与一个稳定的周期解并存。

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