A class of Ito stochastic parabolic neural networks model was considered. The exponential stability condition of the systems was developed by using stability theory of stochastic system and improved integral inequality. The conditions were diffusion-dependent, which was clearly more accurate than the Poincare-type inequality in previously reported literatures. Finally, a numerical simulation example was provided to illustrate the feasibility and effective of the proposed method.