Summary: A generalized reaction-diffusion model of M. A. Cohen
and S. Grossberg
[see IEEE Trans. Syst. Man. Cybern. 13, 815–826 (1983; Zbl 0553.92009
)] neural networks with time-varying and distributed delays is investigated. By employing analytic methods, inequality techniques and
-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium points for Cohen-Grossberg neural networks with time-varying and distributed delays are obtained. Several examples are given to show the effectiveness of the obtained results.