This paper is concerned with the problem of stability analysis for neural networks with discrete and unbounded distributed delays. In terms of linear matrix inequalities, a new delay-dependent condition is proposed, which ensures the existence of a unique equilibrium point and its global asymptotic stability of the delayed neural networks. A numerical example is given to demonstrate the reduced conservatism of the condition.