Delay-dependent exponential stability for neutral stochastic Markov neural networks with time-varying delay

In this article, stability analysis for neutral stochastic neural networks with time-varying delay and Markovian jumping parameters is studied. By utilizing the theory of functional differential equations, some results about exponential stability criteria in p (p > 1)-moment, which are delay-dependent, are given. The primary advantages of these obtained results over some recent and similar works are that the differentiability or continuity of the delay function is not required, and that the difficulty stemming from the existence of the neutral item is overcome. A numerical example is given to examine the correctness of the derived result.