Regulating synchronous patterns in neurons and networks via field coupling

doi:10.1016/j.cnsns.2020.105583

IR > 理学院

	Regulating synchronous patterns in neurons and networks via field coupling
	Yao, Zhao 1; Wang, Chunni1 ; Zhou, Ping 2; Ma, Jun1,2
	2021-04
发表期刊	Communications in Nonlinear Science and Numerical Simulation
ISSN	10075704
卷号	95
摘要	Both electrical and chemical synapses play important role in receiving and propagating signals between biological neurons. The activation of electrical synapse coupling is generated via gap junction connection while chemical synapse coupling depends on the release of neurotransmitter for triggering stable propagation of ions. In a practical way, voltage coupling via resistor connection between artificial neural circuits is often used to describe the gap junction coupling via electrical synapse between neurons. Magnetic field coupling via induction coil between neural circuits can be effective to estimate the chemical synapse coupling when ions are propagated and released in the cell. In this paper, the physical properties of magnetic field coupling between neural circuits are discussed. For simplicity, two Hindmarsh–Rose neurons are connected to trigger magnetic field coupling and the coupling channel is tamed to detect possible occurrence of synchronization. Two neurons are stimulated with different stimuli, and it is confirmed that the synchronous firing mode is decided by the neuron with higher forcing amplitude. Furthermore, the collective behaviors of HR neuron in the small-world network and scale free network are investigated by changing the coupling intensity and diversity in external stimulus, respectively. Statistical synchronization factor is calculated to estimate the dependence of synchronization on coupling gain and the number of bursting neurons in the network. In case of small-world connection, synchronization approach becomes difficult. However, complete synchronization can be stabilized on the scale free network under magnetic field coupling. © 2020 Elsevier B.V.
关键词	Magnetic circuits Magnetic fields Small-world networks Synchronization Biological neuron Chemical synapsis Collective behavior Complete synchronization Electrical synapse External stimulus Forcing amplitudes Magnetic field coupling
DOI	10.1016/j.cnsns.2020.105583
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Mathematics ; Mechanics ; Physics
WOS类目	Mathematics, Applied ; Mathematics, Interdisciplinary Applications ; Mechanics ; Physics, Fluids & Plasmas ; Physics, Mathematical
WOS记录号	WOS:000614429100007
出版者	Elsevier B.V.
EI入藏号	20205109655950
EI主题词	Neurons
EI分类号	461.9 Biology - 701.2 Magnetism: Basic Concepts and Phenomena - 722 Computer Systems and Equipment - 961 Systems Science
来源库	Compendex
引用统计	被引频次：20[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/147224
专题	理学院
通讯作者	Wang, Chunni
作者单位	1.Lanzhou Univ Technol, Dept Phys, Lanzhou 730050, Peoples R China; 2.Chongqing Univ Posts & Telecommun, Sch Sci, Chongqing 430065, 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
推荐引用方式 GB/T 7714	Yao, Zhao,Wang, Chunni,Zhou, Ping,et al. Regulating synchronous patterns in neurons and networks via field coupling[J]. Communications in Nonlinear Science and Numerical Simulation,2021,95.
APA	Yao, Zhao,Wang, Chunni,Zhou, Ping,&Ma, Jun.(2021).Regulating synchronous patterns in neurons and networks via field coupling.Communications in Nonlinear Science and Numerical Simulation,95.
MLA	Yao, Zhao,et al."Regulating synchronous patterns in neurons and networks via field coupling".Communications in Nonlinear Science and Numerical Simulation 95(2021).