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Numerical bifurcation analysis of two coupled FitzHugh-Nagumo oscillators

机译:两个耦合的FitzHugh-Nagumo振荡器的数值分叉分析

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The behavior of neurons can be modeled by the FitzHugh-Nagumo oscillator model, consisting of two nonlinear differential equations, which simulates the behavior of nerve impulse conduction through the neuronal membrane. In this work, we numerically study the dynamical behavior of two coupled FitzHugh-Nagumo oscillators. We consider unidirectional and bidirectional couplings, for which Lyapunov and isoperiodic diagrams were constructed calculating the Lyapunov exponents and the number of the local maxima of a variable in one period interval of the time-series, respectively. By numerical continuation method the bifurcation curves are also obtained for both couplings. The dynamics of the networks here investigated are presented in terms of the variation between the coupling strength of the oscillators and other parameters of the system. For the network of two oscillators unidirectionally coupled, the results show the existence of Arnold tongues, self-organized sequentially in a branch of a Stern-Brocot tree and by the bifurcation curves it became evident the connection between these Arnold tongues with other periodic structures in Lyapunov diagrams. That system also presents multistability shown in the planes of the basin of attractions.
机译:神经元的行为可以通过FitzHugh-Nagumo振荡器模型来建模,该模型由两个非线性微分方程组成,该方程可模拟神经冲动通过神经元膜传导的行为。在这项工作中,我们数值研究了两个耦合的FitzHugh-Nagumo振荡器的动力学行为。我们考虑单向和双向耦合,为此构造了Lyapunov图和等距图,分别计算了时间序列的一个周期间隔内的Lyapunov指数和变量的局部最大值的数量。通过数值连续方法,还获得了两种联接的分叉曲线。本文根据振荡器的耦合强度与系统其他参数之间的变化来介绍所研究网络的动力学。对于两个单向耦合的振荡器的网络,结果表明存在Arnold舌,它们在Stern-Brocot树的一个分支中按顺序自组织,并且通过分叉曲线,很明显,这些Arnold舌与其他周期性结构之间的联系。 Lyapunov图。该系统还具有吸引力盆地平面所显示的多重稳定性。

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