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高斯噪声诱导的网络组织化 FitzHugh-Nagumo 模型中的自发性活动。

Spontaneous Activity Induced by Gaussian Noise in the Network-Organized FitzHugh-Nagumo Model.

机构信息

School of Science, Xuchang University, Xuchang, Henan 461000, China.

School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an, 710072 Shaanxi, China.

出版信息

Neural Plast. 2020 Nov 24;2020:6651441. doi: 10.1155/2020/6651441. eCollection 2020.

Abstract

In this paper, we show some dynamical and biological mechanisms of the short-term memory (the fixed point attractor) through the toggle switch in the FitzHugh-Nagumo model (FN). Firstly, we obtain the bistable conditions, show the effect of Gaussian noise on the toggle switch, and explain the short-term memory's switch mechanism by mean first passage time (MFPT). Then, we obtain a Fokker-Planck equation and illustrate the meaning of the monostable and bistable state in the short-term memory. Furthermore, we study the toggle switch under the interaction of network and noise. Meanwhile, we show that network structure and noise play a vital role in the toggle switch based on network mean first passage time (NMFPT). And we illustrate that the modest clustering coefficient and noise are necessary to maintain memories. Finally, the numerical simulation shows that the analytical results agree with it.

摘要

本文通过在 FitzHugh-Nagumo 模型 (FN) 中的 toggle switch 展示了短期记忆(平衡点吸引子)的一些动力学和生物学机制。首先,我们得到双稳条件,展示高斯噪声对 toggle switch 的影响,并通过平均首通时间 (MFPT) 解释短期记忆的开关机制。然后,我们得到福克-普朗克方程,并阐明了短期记忆中单稳和双稳状态的含义。此外,我们研究了网络和噪声共同作用下的 toggle switch。同时,我们基于网络平均首通时间 (NMFPT) 表明网络结构和噪声在 toggle switch 中起着至关重要的作用。并且我们说明适度的聚类系数和噪声是维持记忆所必需的。最后,数值模拟表明分析结果与之相符。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b1/7707970/7440c47112ff/NP2020-6651441.001.jpg

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