用描述函数法解析确定Jansen神经质量模型中自发α振荡的频率和振幅。

Yao Xu, Chun-Hui Zhang, Ernst Niebur, Jun-Song Wang
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引用次数: 3

摘要

自发的阿尔法振荡是大脑中普遍存在的现象,在神经信息处理和各种认知功能中发挥着关键作用。詹森的神经质量模型(NMM)最初是为了研究阿尔法振荡的起源而提出的。以前对NMM中自发α振荡的大多数研究都是使用数值方法进行的。在这项研究中,我们旨在提出一种使用描述函数方法来阐明NMM中自发α振荡机制的分析方法。首先,通过描述函数来近似NMM中的S形非线性函数,使我们能够重新表述NMM,并导出其由一个非线性部分和一个线性部分组成的标准形式。其次,通过进行理论分析,我们可以评估NMM中是否会发生自发的α振荡,此外,还可以准确地确定其振幅和频率。分析结果表明,NMM的线性和非线性之间的相互作用在自发α振荡的产生中起着关键作用。此外,产生自发的α振荡需要强的非线性和大的线性强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Analytically determining frequency and amplitude of spontaneous alpha oscillation in Jansen's neural mass model using the describing function method.

Spontaneous alpha oscillations are a ubiquitous phenomenon in the brain and play a key role in neural information processing and various cognitive functions. Jansen's neural mass model (NMM) was initially proposed to study the origin of alpha oscillations. Most of previous studies of the spontaneous alpha oscillations in the NMM were conducted using numerical methods. In this study, we aim to propose an analytical approach using the describing function method to elucidate the spontaneous alpha oscillation mechanism in the NMM. First, the sigmoid nonlinear function in the NMM is approximated by its describing function, allowing us to reformulate the NMM and derive its standard form composed of one nonlinear part and one linear part. Second, by conducting a theoretical analysis, we can assess whether or not the spontaneous alpha oscillation would occur in the NMM and, furthermore, accurately determine its amplitude and frequency. The results reveal analytically that the interaction between linearity and nonlinearity of the NMM plays a key role in generating the spontaneous alpha oscillations. Furthermore, strong nonlinearity and large linear strength are required to generate the spontaneous alpha oscillations.

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