Abstract
A B S T R A C T In this paper, stability for a class of stochastic memristor Cohen-Grossberg BAM neural networks with time-varying delays and reaction-diffusion are considered. A set of novel sufficient conditions on pth moment exponential stability of the equilibrium point are investigated for the considered system. We constructed Lyapunov functional and utilized stochastic stability theory and Itos differential formula. Finally, two examples are provided to illustrate the effectiveness of the derived main results.