Bifurcation Analysis and Synchronous Patterns between Field Coupled Neurons with Time Delay

doi:10.1155/2022/7487477

CORC > 兰州理工大学 > 兰州理工大学

	Bifurcation Analysis and Synchronous Patterns between Field Coupled Neurons with Time Delay
	Zhang, Li 1; An, Xinlei 1,2; Zhang, Jiangang 1; Shi, Qianqian 1
刊名	COMPLEXITY
	2022-06-24
卷号	2022
ISSN号	1076-2787
DOI	10.1155/2022/7487477
英文摘要	Neurons encode and transmit signals through chemical synaptic or electrical synaptic connections in the actual nervous system. Exploring the biophysical properties of coupling channels is of great significance for further understanding the rhythm transitions of neural network electrical activity patterns and preventing neurological diseases. From the perspective of biophysics, the activation of magnetic field coupling is the result of the continuous release and propagation of intracellular and extracellular ions, which is very similar to the activation of chemical synaptic coupling through the continuous release of neurotransmitters. In this article, an induction coil is used to connect two HR neurons to stimulate the effect of magnetic field coupling. It is inevitable that time delays can affect the coupling process in the transmission of information, and it should be considered in the coupled model. Firstly, the firing characteristics and bifurcation modes of two coupled HR neurons are studied by using one parameter and two parameters bifurcation. With the increase of propagation delay and coupling gain, the chaotic state of neurons disappears and the high-period window decreases due to the influence of energy transfer between neurons. Then, the synchronization patterns of two HR neurons with different stimulation are analyzed by error diagrams and time series diagrams. It is confirmed that the synchronous pattern has certain regularity and is related not only to the neurons with large stimulation current but also to the time delay and coupling gain. The research conclusions of this article will provide the corresponding theoretical basis for medical experiments.
WOS研究方向	Mathematics ; Science & Technology - Other Topics
语种	英语
出版者	WILEY-HINDAWI
WOS记录号	WOS:000820895400001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158891]
专题	兰州理工大学
作者单位	1.Lanzhou Jiaotong Univ, Sch Math & Phys, Lanzhou 730070, Peoples R China; 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Li,An, Xinlei,Zhang, Jiangang,et al. Bifurcation Analysis and Synchronous Patterns between Field Coupled Neurons with Time Delay[J]. COMPLEXITY,2022,2022.
APA	Zhang, Li,An, Xinlei,Zhang, Jiangang,&Shi, Qianqian.(2022).Bifurcation Analysis and Synchronous Patterns between Field Coupled Neurons with Time Delay.COMPLEXITY,2022.
MLA	Zhang, Li,et al."Bifurcation Analysis and Synchronous Patterns between Field Coupled Neurons with Time Delay".COMPLEXITY 2022(2022).