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A physical view of computational neurodynamics
Ma, Jun1; Yang, Zhuo-qin2; Yang, Li-jian3; Tang, Jun4
2019-09
发表期刊JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
ISSN1673-565X
卷号20期号:9页码:639-659
摘要The nervous system is made of a large number of neurons. Time-varying balance between excitatory and inhibitory neurons is important to activate appropriate modes of electrical activity. A realistic biological neuron is complex, often presenting various electrophysiological activities and diffusive propagation of ions in the cell. Therefore, the physical effects of electromagnetic induction become very important and should be considered when estimating signal encoding and mode selection. Synaptic plasticity and anatomical structure have been developed to enhance the self-adaption of neurons. Thus, the electrical mode with the most effective links and weights can be selected to benefit information encoding and signal propagation between neurons in the network. As a result, the demand for metabolic energy can be greatly reduced. In this review, neuron model setting with biophysical effects, modulation of astrocytes, autapse formation and biological function, synaptic plasticity, memristive synapses, and field coupling between neurons and networks are reviewed briefly to provide guidance in the field of neurodynamics.
关键词Neuron Neural networks Autapse Hamilton energy Electromagnetic induction O59 TN710
DOI10.1631/jzus.A1900273
收录类别SCI ; SCIE
语种英语
资助项目National Natural Science Foundation of China[11765011] ; National Natural Science Foundation of China[11672122]
WOS研究方向Engineering ; Physics
WOS类目Engineering, Multidisciplinary ; Physics, Applied
WOS记录号WOS:000485263700001
出版者ZHEJIANG UNIV
EI入藏号20193707427114
EI主题词Neural networks
EI分类号461.1 Biomedical Engineering - 461.9 Biology - 701.1 Electricity: Basic Concepts and Phenomena - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 723.4 Artificial Intelligence
引用统计
被引频次:119[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/31622
专题理学院
通讯作者Ma, Jun
作者单位1.Lanzhou Univ Technol, Dept Phys, Lanzhou 730050, Gansu, Peoples R China;
2.Beihang Univ, Sch Math & Syst Sci, Beijing 100191, Peoples R China;
3.Cent China Normal Univ, Dept Phys, Wuhan 430079, Hubei, Peoples R China;
4.China Univ Min & Technol, Sch Phys, Xuzhou 221116, Jiangsu, Peoples R China
第一作者单位理学院
通讯作者单位理学院
第一作者的第一单位理学院
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Ma, Jun,Yang, Zhuo-qin,Yang, Li-jian,et al. A physical view of computational neurodynamics[J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,2019,20(9):639-659.
APA Ma, Jun,Yang, Zhuo-qin,Yang, Li-jian,&Tang, Jun.(2019).A physical view of computational neurodynamics.JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,20(9),639-659.
MLA Ma, Jun,et al."A physical view of computational neurodynamics".JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A 20.9(2019):639-659.
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