Lyapunov functional methods, combining with some inequality techniques, ate employed to study the global asymptotic stability of delayed neural networks. Without assuming Lipschitz conditions on the activation functions, a new sufficient condition is established. Such criteria allows us to include non-Lipschitzian activaition functions,hi the design of delayed neural networks. The result presented here is also discussed from the point of view of its relationship to some previous results.