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In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks (or on time scales).
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