標題: Absolute stability and synchronization in neural field models with transmission delays
作者: Kao, Chiu-Yen
Shih, Chih-Wen
Wu, Chang-Hong
應用數學系
Department of Applied Mathematics
關鍵字: Absolute stability;Synchronization;Neural field models;Delay equations
公開日期: 1-Aug-2016
摘要: Neural fields model macroscopic parts of the cortex which involve several populations of neurons. We consider a class of neural field models which are represented by integro-differential equations with transmission time delays which are space-dependent. The considered domains underlying the systems can be bounded or unbounded. A new approach, called sequential contracting, instead of the conventional Lyapunov functional technique, is employed to investigate the global dynamics of such systems. Sufficient conditions for the absolute stability and synchronization of the systems are established. Several numerical examples are presented to demonstrate the theoretical results. (C) 2016 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.physd.2016.04.014
http://hdl.handle.net/11536/133874
ISSN: 0167-2789
DOI: 10.1016/j.physd.2016.04.014
期刊: PHYSICA D-NONLINEAR PHENOMENA
Volume: 328
起始頁: 21
結束頁: 33
Appears in Collections:Articles