A biophysical neuron model with double membranes

doi:10.1007/s11071-024-09452-8

IR > 理学院

	A biophysical neuron model with double membranes
	Li, Yanni 1; Ma, Jun1,2 ; Xie, Ying1
	2024-03-19
在线发表时间	2024-03
发表期刊	NONLINEAR DYNAMICS
ISSN	0924-090X
摘要	The variation in electromagnetic-field distribution between the intracellular and extracellular environments arises from the electro-physiological properties unique to each. Therefore, gradient capacitive energy diversity (difference) in single neuron (or two neurons) is helpful to trigger suitable firing modes in neural activities. Deterministic neuron models with selected parameters often miss consideration of flexibility and controllability of the cell membrane under external stimulus, and only one capacitive variable is used to measure the membrane potentials. In this paper, two capacitors are connected via a memristor, a smooth nonlinear resistor combined with an inductor, together with a resistor are used to build a new neural circuit and a feasible neuron model is obtained after scale transformation. The controllability of memristive connection to capacitors in the neural circuit reproduces the flexibility of cell membrane, and the capacitive parameters are controlled by energy diversity between capacitive fields under external stimulus and noisy disturbance. An energy function is obtained by applying scale transformation for the field energy for the neural circuit, and coherence resonance is detected by applying noisy disturbance. The energy is expressed as a weighted function involving the membrane potential and channel currents, and the average energy value is effective to forecast appearance of coherence resonance and neural activities become in high regularity. An adaptive criterion is suggested to explain how energy level for capacitive field can control the parameter shift due to energy injection and shape deformation on the cell membrane. When capacitive energy level is beyond a threshold, a parameter shift is induced to trigger suitable firing modes under external stimulus, and this property is effective to keep energy balance between adjacent neurons in the networks coexisting with multiple firing modes. Finally, entropy is estimated to discern the characteristic of firing modes. The most scientific significance is its physical description and approach of memrisitve membrane for cells.
关键词	Neural circuit Memristor Hamilton energy Coherence resonance Adaptive regulation
DOI	10.1007/s11071-024-09452-8
收录类别	SCIE ; EI
语种	英语
资助项目	National Natural Science Foundation of China [12072139]; National Natural Science Foundation of China
WOS研究方向	Engineering ; Mechanics
WOS类目	Engineering, Mechanical ; Mechanics
WOS记录号	WOS:001186169100002
出版者	SPRINGER
EI入藏号	20241215780398
EI主题词	Memristors
EI分类号	461.1 Biomedical Engineering ; 461.2 Biological Materials and Tissue Engineering ; 461.9 Biology ; 701 Electricity and Magnetism ; 713.4 Pulse Circuits ; 714.2 Semiconductor Devices and Integrated Circuits ; 921.3 Mathematical Transformations ; 951 Materials Science
原始文献类型	Article;Early Access
EISSN	1573-269X
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/170202
专题	理学院能源与动力工程学院
通讯作者	Ma, Jun
作者单位	1.Lanzhou Univ Technol, Dept Phys, Lanzhou 730050, Peoples R China; 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
第一作者单位	理学院
通讯作者单位	理学院; 电气工程与信息工程学院
第一作者的第一单位	理学院
推荐引用方式 GB/T 7714	Li, Yanni,Ma, Jun,Xie, Ying. A biophysical neuron model with double membranes[J]. NONLINEAR DYNAMICS,2024.
APA	Li, Yanni,Ma, Jun,&Xie, Ying.(2024).A biophysical neuron model with double membranes.NONLINEAR DYNAMICS.
MLA	Li, Yanni,et al."A biophysical neuron model with double membranes".NONLINEAR DYNAMICS (2024).