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爆发性神经元模型中的混沌路径

Routes to chaos in a model of a bursting neuron.

作者信息

Canavier C C, Clark J W, Byrne J H

机构信息

Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77251-1892.

出版信息

Biophys J. 1990 Jun;57(6):1245-51. doi: 10.1016/S0006-3495(90)82643-6.

Abstract

Chaotic regimens have been observed experimentally in neurons as well as in deterministic neuronal models. The R15 bursting cell in the abdominal ganglion of Aplysia has been the subject of extensive mathematical modeling. Previously, the model of Plant and Kim has been shown to exhibit both bursting and beating modes of electrical activity. In this report, we demonstrate (a) that a chaotic regime exists between the bursting and beating modes of the model, and (b) that the model approaches chaos from both modes by a period doubling cascade. The bifurcation parameter employed is the external stimulus current. In addition to the period doubling observed in the model-generated trajectories, a period three "window" was observed, power spectra that demonstrate the approaches to chaos were generated, and the Lyaponov exponents and the fractal dimension of the chaotic attractors were calculated. Chaotic regimes have been observed in several similar models, which suggests that they are a general characteristic of cells that exhibit both bursting and beating modes.

摘要

在神经元以及确定性神经元模型中,已通过实验观察到混沌状态。海兔腹神经节中的R15爆发性细胞一直是广泛数学建模的对象。此前,普兰特和金的模型已被证明能展现出电活动的爆发和搏动模式。在本报告中,我们证明:(a)该模型的爆发和搏动模式之间存在混沌状态;(b)该模型通过倍周期级联从这两种模式趋近混沌。所采用的分岔参数是外部刺激电流。除了在模型生成轨迹中观察到的倍周期现象外,还观察到一个周期三“窗口”,生成了证明趋近混沌的功率谱,并计算了混沌吸引子的李雅普诺夫指数和分形维数。在几个类似模型中都观察到了混沌状态,这表明它们是同时展现爆发和搏动模式的细胞的一个普遍特征。

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