Pattern formation in a thermosensitive neural network

doi:10.1016/j.cnsns.2022.106426

CORC > 兰州理工大学 > 兰州理工大学

	Pattern formation in a thermosensitive neural network
	Xu, Ying 2; Ma, Jun 1,3
刊名	Communications in Nonlinear Science and Numerical Simulation
	2022-08-01
卷号	111
关键词	Backpropagation Bifurcation (mathematics) Brain Neural networks Thermal gradients Thermistors Timing circuits Formation stability Membrane potentials Neural circuits Neural-networks Pattern Pattern formation Pattern synchronization Synchronization stability Thermo sensitive Thermosensitive neuron
ISSN号	1007-5704
DOI	10.1016/j.cnsns.2022.106426
英文摘要	Pattern formation and synchronization stability in the network are dependent on cooperation between nodes and the local kinetics as well. Temperature has a significant effect on the membrane potential by regulating the channel conductance and excitability of neurons. Thermistor is a smart sensor and its resistance value changes with temperature. A nonlinear circuit composed of thermistors is effective to detect the changes in surroundings temperature. In this paper, a temperature-induced pattern formation in a two-dimensional regular lattice network composed of thermosensitive neurons is studied. Numerical simulations are performed to research the effect of parameters (coupling amplitude) and temperature spatial gradient distribution of neural network on pattern formation and synchronization stability. The bifurcation analysis of the membrane potential reveals the conversion in electrical activity and pattern selection. The results show that neural membrane potential can present distinct firing patterns with the change of temperature. The electrical synapse coupling between neurons promotes effective signals propagation in the network. It is found that the collective dynamic behavior of the network is changed by taming the coupling intensity. The Hamilton energy is estimated to predict the mode selection in neural activities. The energy can be ordered in the network under the temperature gradient distribution. Our results confirm that electrical synapse coupling and temperature spatial gradient distribution can be controlled to affect the neural activities in nervous system. © 2022 Elsevier B.V.
WOS研究方向	Mathematics ; Mechanics ; Physics
语种	英语
出版者	Elsevier B.V.
WOS记录号	WOS:000813105900002
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158491]
专题	兰州理工大学
作者单位	1.Department of Physics, Lanzhou University of Technology, Lanzhou; 730050, China; 2.School of Mathematics and Statistics, Shandong Normal University, Jian; 250014, China; 3.School of Science, Chongqing University of Posts and Telecommunications, Chongqing; 430065, China
推荐引用方式 GB/T 7714	Xu, Ying,Ma, Jun. Pattern formation in a thermosensitive neural network[J]. Communications in Nonlinear Science and Numerical Simulation,2022,111.
APA	Xu, Ying,&Ma, Jun.(2022).Pattern formation in a thermosensitive neural network.Communications in Nonlinear Science and Numerical Simulation,111.
MLA	Xu, Ying,et al."Pattern formation in a thermosensitive neural network".Communications in Nonlinear Science and Numerical Simulation 111(2022).