Multi-mode oscillations and hamilton energy feedback control of a class of memristor neuron

doi:10.6052/0459-1879-20-035

CORC > 兰州理工大学 > 兰州理工大学

	Multi-mode oscillations and hamilton energy feedback control of a class of memristor neuron
	An, Xinlei 1,2; Zhang, Li 3
刊名	Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics
	2020-07-18
卷号	52 期号:4 页码:1174-1188
关键词	Controllers Cytology Electric discharges Electromagnetic induction Electromagnetic waves Electrophysiology Environmental regulations Feedback control Magnetic flux Membranes Neurons Numerical models Oscillators (mechanical) Radiation effects Bifurcation structures Discharge characteristics Electrical activities Hindmarsh-Rose neurons Hopf bifurcation point Mixed mode oscillations Multi-mode oscillations Stability of equilibrium
ISSN号	04591879
DOI	10.6052/0459-1879-20-035
英文摘要	According to Faraday's electromagnetic induction law, the electrophysiological environment in and out the cell will produce electromagnetic induction effects in the case of ions penetrating the cell membrane or in the case of being exposed to external electromagnetic radiation, which will affect the electrical activity behavior of neural systems. Based on this principle, this paper studies the mixed-mode oscillation discharge characteristics of the Hindmarsh-Rose(HR) neuron model (here we call it as magnetic flux HR neuron model) with the influence of electromagnetic induction, and designs a Hamilton energy feedback controller to manage the mode to different periodic cluster discharge states. First, through theoretic analysis, it is found that the stability of equilibrium point in the magnetic flux HR neuron model is changed by the occurrence of Hopf bifurcation in the magnetic flux HR neuron model and a limit cycle is generated. Besides, some discharge characteristics of the membrane voltage near the Hopf bifurcation point are also discussed in detail. Then, it is also displayed there are abundant bifurcation structures in the magnetic flux HR neuron model based on the twoparameter numerical simulations, which includes multi-period bifurcation, period-adding bifurcation with chaos, periodadding bifurcation without chaos and co-existing mixed-mode oscillations in different initial conditions. At last, with the purpose of controlling the mixed-mode oscillation of membrane voltage, the Hamilton energy function is calculated by utilizing the Helmholtz theorem, and a Hamilton energy feedback controller is designed further. Additionally, it can be seen that the controller can effectively control the membrane voltage in different periodic clustering discharge modes, with the analysis of the discharge states of membrane voltage under different feedback gains in view of the numerical simulation. The results of this paper provide a useful theoretical support for the study of bifurcation structure in artificial neuron system under electromagnetic induction and the field of energy control related to the neurons. © 2020, Chinese Journal of Theoretical and Applied Mechanics Press. All right reserved.
语种	中文
出版者	Chinese Journal of Theoretical and Applied Mechanics Press
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115733]
专题	兰州理工大学
作者单位	1.School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou; 730070, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; Gansu; 730050, China; 3.The Basic Courses Department of Lanzhou Institute of Technology, Lanzhou; Gansu; 730050, China
推荐引用方式 GB/T 7714	An, Xinlei,Zhang, Li. Multi-mode oscillations and hamilton energy feedback control of a class of memristor neuron[J]. Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics,2020,52(4):1174-1188.
APA	An, Xinlei,&Zhang, Li.(2020).Multi-mode oscillations and hamilton energy feedback control of a class of memristor neuron.Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics,52(4),1174-1188.
MLA	An, Xinlei,et al."Multi-mode oscillations and hamilton energy feedback control of a class of memristor neuron".Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics 52.4(2020):1174-1188.