Asymptotic behavior of discrete solutions to delayed neural networks with impulses

In this paper, we formulate and study a new class of discrete neural networks with time dependent delay and impulses. Sufficient conditions for the asymptotic stability of a unique equilibrium of the networks with Lipschitizian activation functions are established. Also when the impulsive jumps are absent the results reduce to those of non-impulsive networks.