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A review for dynamics in neuron and neuronal network
Ma, Jun1,2,3; Tang, Jun4
2017-08
发表期刊NONLINEAR DYNAMICS
ISSN0924-090X
卷号89期号:3页码:1569-1578
摘要The biological Hodgkin-Huxley model and its simplified versions have confirmed its effectiveness for recognizing and understanding the electrical activities in neurons, and bifurcation analysis is often used to detect the mode transition in neuronal activities. Within the collective behaviors of neurons, neuronal network with different topology is designed to study the synchronization behavior and spatial pattern formation. In this review, the authors give careful comments for the presented neuron models and present some open problems in this field, nonlinear analysis could be effective to further discuss these problems and some results could be helpful to give possible guidance in the field of neurodynamics.
关键词Model setting Synchronization Factor of synchronization Electromagnetic radiation Memristor
DOI10.1007/s11071-017-3565-3
收录类别SCI ; SCIE
语种英语
资助项目National Nature Science Foundation of China[11672122]
WOS研究方向Engineering ; Mechanics
WOS类目Engineering, Mechanical ; Mechanics
WOS记录号WOS:000405962800001
出版者SPRINGER
EI入藏号20172103688877
EI主题词Neural networks
EI分类号461.9 Biology - 711 Electromagnetic Waves - 961 Systems Science
引用统计
被引频次:304[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/33180
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.Chongqing Univ Posts & Telecommun, Sch Sci, Chongqing 430065, Peoples R China;
3.King Abdulaziz Univ, NAAM Res Grp, Dept Math, Fac Sci, POB 80203, Jeddah 21589, Saudi Arabia;
4.China Univ Min & Technol, Dept Phys, Xuzhou 221116, 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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GB/T 7714
Ma, Jun,Tang, Jun. A review for dynamics in neuron and neuronal network[J]. NONLINEAR DYNAMICS,2017,89(3):1569-1578.
APA Ma, Jun,&Tang, Jun.(2017).A review for dynamics in neuron and neuronal network.NONLINEAR DYNAMICS,89(3),1569-1578.
MLA Ma, Jun,et al."A review for dynamics in neuron and neuronal network".NONLINEAR DYNAMICS 89.3(2017):1569-1578.
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