Physical approach of a neuron model with memristive membranes

doi:10.1063/5.0170121

IR > 理学院

	Physical approach of a neuron model with memristive membranes
	Guo, Yitong 1; Wu, Fuqiang 2; Yang, Feifei 1; Ma, Jun1,3
	2023-11
发表期刊	CHAOS
ISSN	1054-1500
卷号	33 期号:11
摘要	The membrane potential of a neuron is mainly controlled by the gradient distribution of electromagnetic field and concentration diversity between intracellular and extracellular ions. Without considering the thickness and material property, the electric characteristic of cell membrane is described by a capacitive variable and output voltage in an equivalent neural circuit. The flexible property of cell membrane enables controllability of endomembrane and outer membrane, and the capacitive properties and gradient field can be approached by double membranes connected by a memristor in an equivalent neural circuit. In this work, two capacitors connected by a memristor are used to mimic the physical property of two-layer membranes, and an inductive channel is added to the neural circuit. A biophysical neuron is obtained and the energy characteristic, dynamics, self-adaption is discussed, respectively. Coherence resonance and mode selection in adaptive way are detected under noisy excitation. The distribution of average energy function is effective to predict the appearance of coherence resonance. An adaptive law is proposed to control the capacitive parameters, and the controllability of cell membrane under external stimulus can be explained in theoretical way. The neuron with memristive membranes explains the self-adaptive mechanism of parameter changes and mode transition from energy viewpoint.
DOI	10.1063/5.0170121
收录类别	SCIE
语种	英语
WOS研究方向	Mathematics ; Physics
WOS类目	Mathematics, Applied ; Physics, Mathematical
WOS记录号	WOS:001096680600008
出版者	AIP Publishing
原始文献类型	Article
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/166999
专题	理学院
通讯作者	Ma, Jun
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China; 2.Ningxia Univ, Sch Math & Stat, Yinchuan 750021, Peoples R China; 3.Lanzhou Univ Technol, Dept Phys, Lanzhou 730050, Peoples R China
第一作者单位	电气工程与信息工程学院
通讯作者单位	电气工程与信息工程学院; 理学院
第一作者的第一单位	电气工程与信息工程学院
推荐引用方式 GB/T 7714	Guo, Yitong,Wu, Fuqiang,Yang, Feifei,et al. Physical approach of a neuron model with memristive membranes[J]. CHAOS,2023,33(11).
APA	Guo, Yitong,Wu, Fuqiang,Yang, Feifei,&Ma, Jun.(2023).Physical approach of a neuron model with memristive membranes.CHAOS,33(11).
MLA	Guo, Yitong,et al."Physical approach of a neuron model with memristive membranes".CHAOS 33.11(2023).