Global exponential stability of Cohen–Grossberg neural networks with time-varying delays

The global exponential stability of the equilibrium point of Cohen–Grossberg neural networks with time-varying delays is first investigated. Furthermore, some sufficient conditions for existence and uniqueness of equilibrium and global exponential stability of the time-varying delayed Cohen–Grossberg neural networks are obtained by using the topological degree theory, M-matrix, Lyapunov functional method and some analysis techniques.