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菲茨休-纳古莫神经传导模型方程中的分岔、混沌与混沌抑制

Bifurcation, chaos and suppression of chaos in FitzHugh-Nagumo nerve conduction model equation.

作者信息

Rajasekar S, Lakshmanan M

机构信息

Department of Physics, Manonmaniam Sundaranar University, Tirunelveli, India.

出版信息

J Theor Biol. 1994 Feb 7;166(3):275-88. doi: 10.1006/jtbi.1994.1025.

Abstract

We study the effect of constant and periodic membrane currents in neuronal axons described by the FitzHugh-Nagumo equation in its wave form. Linear stability analysis is carried out in the absence of periodic membrane current. Occurrence of chaotic motion, (i) in the absence of both constant and periodic membrane currents, (ii) with constant current only, (iii) with periodic membrane current only, and (iv) with both constant and periodic currents is investigated for specific parametric choices. We show how chaos sets in through a cascade of period doubling bifurcations. We then demonstrate the possibility of control of chaos using various control mechanisms. Specifically, we show the control of chaos by (i) adaptive control mechanism, (ii) periodic parametric perturbation and (iii) stabilization of unstable periodic orbits.

摘要

我们研究了以波动形式的FitzHugh-Nagumo方程描述的神经元轴突中恒定和周期性膜电流的影响。在没有周期性膜电流的情况下进行线性稳定性分析。针对特定的参数选择,研究了(i)在既没有恒定膜电流也没有周期性膜电流的情况下、(ii)仅存在恒定电流时、(iii)仅存在周期性膜电流时以及(iv)同时存在恒定和周期性电流时混沌运动的发生情况。我们展示了混沌如何通过一系列倍周期分岔产生。然后我们证明了使用各种控制机制控制混沌的可能性。具体而言,我们展示了通过(i)自适应控制机制、(ii)周期性参数扰动和(iii)稳定不稳定周期轨道来控制混沌。

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