神经振荡系统中自我维持的不规则活动

E. Ullner, A. Politi
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引用次数: 26

摘要

在平均场耦合及其固有频率色散存在的情况下,对脉冲耦合相位振荡器系综进行了全面的分析。尽管与Kuramoto的设定有相似之处,但观察到的情况要丰富得多。随着耦合强度的增加而出现的“同步相位”具有高度不规则波动的特征:时间序列分析表明,序参量的动力学确实是高维的。复杂的动力学似乎是一个适当形状的相响应曲线的非摄动作用的结果。这种机制不同于经常被调用的兴奋和抑制之间的平衡,可能为解释静息状态下自我维持的大脑活动提供了另一种基础。这种动力机制的潜在利益进一步加强了它的(微观)线性稳定性,这使得它非常适合于计算任务。整体研究是通过分析和数值研究相结合进行的,从异步状态的线性稳定性分析开始,包括Kuramoto阶参数的傅立叶分析,各种类型的Lyapunov指数的计算,以及峰间间隔的微观研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-sustained irregular activity in an ensemble of neural oscillators
An ensemble of pulse-coupled phase-oscillators is thoroughly analysed in the presence of a mean-field coupling and a dispersion of their natural frequencies. In spite of the analogies with the Kuramoto setup, a much richer scenario is observed. The "synchronised phase", which emerges upon increasing the coupling strength, is characterized by highly-irregular fluctuations: a time-series analysis reveals that the dynamics of the order parameter is indeed high-dimensional. The complex dynamics appears to be the result of the non-perturbative action of a suitably shaped phase-response curve. Such mechanism differs from the often invoked balance between excitation and inhibition and might provide an alternative basis to account for the self-sustained brain activity in the resting state. The potential interest of this dynamical regime is further strengthened by its (microscopic) linear stability, which makes it quite suited for computational tasks. The overall study has been performed by combining analytical and numerical studies, starting from the linear stability analysis of the asynchronous regime, to include the Fourier analysis of the Kuramoto order parameter, the computation of various types of Lyapunov exponents, and a microscopic study of the inter-spike intervals.
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