噪声激励的神经元振荡转换  

Noise-Induced Transitions in Neuronal Oscillations

作　　者：陈明明 朱亚杰 张锐[1,2] 万红[1] CHEN Mingming;ZHU Yajie;ZHANG Rui;WAN Hong(Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology,School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001;Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine,School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001)

机构地区：[1]郑州大学电气工程学院河南省脑科学与脑机接口技术重点实验室,郑州450001 [2]郑州大学电气工程学院中医药智能科学与工程技术研究中心,郑州450001

出　　处：《电子科技大学学报》2022年第1期32-38,共7页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(61803342,61603344,61673353);中央本级重大增减支项目(2060302)。

摘　　要：由于离子通道的随机波动和突触的相互作用等因素,大脑神经元中不可避免地存在噪声。噪声会影响神经元活动和神经信息处理,但其在神经元振荡模式转换中的作用仍不清楚。为此,该文采用神经计算建模的方法,应用扩展HH模型模拟神经元的电活动,探究噪声对神经元振荡模式的影响。通过数值仿真,结果表明噪声强度的改变会引起神经元不同振荡模式之间的转换,特别是噪声强度增加使神经元更易产生多模式放电。该研究结果为揭示噪声在神经元生理活动中的功能作用提供了理论参考,并有助于理解大脑的信息处理机制。Neuronal noise is ubiquitous in the brain,due to stochastic ion channel fluctuations and interactions among synapses.It has been suggested that neuronal noise has important influences on the neuronal activity and information processing.However,the roles of neuronal noise in inducing transitions between neuronal oscillation patterns are still poorly understood.Hence,this paper employs an extended Hodgkin-Huxley(HH)model to simulate neuronal activities and investigate the impacts of neuronal noise on neuronal oscillation patterns.Numerical simulations show that the strength of noise intensity can induce transitions between different neuronal oscillation patterns.Specifically,enhancing the noise intensity contributes significantly to triggering multiple neuronal firing patterns.These findings may provide some new insights into the functional roles of noise in neuronal activities and may conduce to understanding the mechanisms of information processing in the brain.

关 键 词：扩展HH模型 噪声 神经元振荡 模式转换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]