Existence and global exponential stability of periodic solution of a class of neural networks with impulses

Sufficient conditions are obtained for the existence and global exponential stability of a unique periodic solution of a class of neural networks with variable and unbounded delays and impulses by using Mawhin's continuation theorem of coincidence degree theory and by constructing Lyapunov functions.