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The authors consider the problem of global robust stability of delayed neural networks with discontinuous activation functions. The stability conditions are given in terms of a linear matrix inequalities, and based on the Lyapunov-Krasovskii stability theory. The results are brand new and original compared with the previous literature. Two numerical examples are given to show the effectiveness of the results.