Absolute stability and synchronization in neural field models with transmission delays

作者：Kao Chiu Yen; Shih Chih Wen^*; Wu Chang Hong

来源：Physica D: Nonlinear Phenomena , 2016, 328: 21-33.

DOI：10.1016/j.physd.2016.04.014

• Absolute stability
• Synchronization
• Neural field models
• Delay equations

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.

• 出版日期2016-8-1