Existence and global exponential stability of periodic solution for delayed high-order Hopfield-type neural networks

By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study the existence and global exponential stability of periodic solution for delayed high-order Hopfield-type neural networks. We obtain some easily verifiable sufficient conditions. An illustrative example is given to demonstrate the effectiveness of our main results.