Anti-periodic solutions for recurrent neural networks without assuming global Lipschitz conditions

In this paper we study recurrent neural networks with time-varying delays and continuously distributed delays. Without assuming global Lipschitz conditions on the activation functions, we establish the existence and local exponential stability of anti-periodic solutions.