Stability and Bifurcation of a Two-Neuron Network with Distributed Time Delays

doi:10.1016/j.nonrwa.2009.03.004

淡江大學機構典藏 > 理學院 > 應用數學與數據科學學系 > 期刊論文 > Item 987654321/58792

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题名:	Stability and Bifurcation of a Two-Neuron Network with Distributed Time Delays
作者:	Hsu, Cheng-Hsiung;Yang, Suh-Yuh;Yang, Ting-Hui;Yang, Tzi-Sheng
贡献者:	淡江大學數學學系
关键词:	Neural network;Distributed time delay;Characteristic equation;Hopf bifurcation;Pitchfork bifurcation;Normal form
日期:	2010-06
上传时间:	2011-10-01 21:11:32 (UTC+8)
出版者:	London: Elsevier Ltd
摘要:	In this paper we study the stability and bifurcation of the trivial solution of a two-neuron network model with distributed time delays. This model consists of two identical neurons, each possessing nonlinear instantaneous self-feedback and connected to the other neuron with continuously distributed time delays. We first examine the local asymptotic stability of the trivial solution by studying the roots of the corresponding characteristic equation, and then describe the stability and instability regions in the parameter space consisting of the self-feedback strength and the product of the connection strengths between the neurons. It is further shown that the trivial solution may lose its stability via a certain type of bifurcation such as a Hopf bifurcation or a pitchfork bifurcation. In addition, the criticality of Hopf bifurcation is investigated by means of the normal form theory. We also provide numerical evidence to support our theoretical analyses.
關聯:	Nonlinear Analysis: Real World Applications 11(3), pp.1472-1490
DOI:	10.1016/j.nonrwa.2009.03.004
显示于类别:	[應用數學與數據科學學系] 期刊論文

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