Abstract
In this paper, a generalized model of impulsive neural networks with periodic coefficients and both time-varying and distributed delays is investigated. By employing analytic methods, inequality technique and M -matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of the periodic oscillatory solution for impulsive neural networks with both time-varying and distributed delays are obtained. Several examples are given to show the effectiveness of the obtained results.
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