Global Exponential Periodicity and Stability of a Class of Impulsive Neural Networks with Finite Distributed Delays

By constructing proper Lyapunov function and using some analysis techniques in the impulsive differential equation theory. A sufficient condition which ensures the global exponential periodicity and stability of neural networks with impulses and finite distributed delays is obtained. The obtained results in this paper improve and extend those given in the earlier literature.