Exponential p-stability of impulsive stochastic neural networks with mixed delays

In this paper, we study impulsive stochastic neural networks with mixed delays. By establishing an L-operator differential inequality with mixed delays and using the properties of M-cone and stochastic analysis technique, we obtain some sufficient conditions ensuring the exponential p-stability of the impulsive stochastic neural networks with mixed delays. The results extend and improve the earlier publications. An example is also discussed to illustrate the efficiency of the obtained results.