Global exponential convergence for delayed cellular neural networks with a class of general activation functions

In this paper, we consider delayed cellular neural networks with a class of general activation functions. By using some mathematical analysis techniques, we establish new results to ensure that all solutions of the networks converge exponentially to zero point.