title: On antiperiodic solutions for Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses.
abstract: In this letter, a class of Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses is investigated. Sufficient conditions for the existence and exponential stability of antiperiodic solutions of such a class of neural networks are established. Our results are new and complementary to previously known results. An example is given to illustrate the feasibility and effectiveness of our main results.
authors: Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang 550004, P.R.C. xcj403@126.com.
authors: Changjin
authors: C
authors: Xu
authors: Qiming
authors: Q
authors: Zhang
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009433:Neural Inhibition / Q000502:physiology*; D016571:Neural Networks, Computer; D010507:Periodicity; D013997:Time Factors