Asymptotic stability of stochastic reaction-diffusion delayed neural networks

In this paper, we study a new class of stochastic neural networks with reaction-diffusion and time-varying delays. By employing a novel Lyapunov-Krasovskii functional, the Itô´s formula, the Green formula and stochastic analysis theory, we obtain a new set of sufficient conditions to ensure Stochastically asymptotic stability of stochastic of the suggested system. Moreover, a numerical example is given to show the effectiveness of the theoretical result.