This paper investigates the problem on master-salve synchronization for stochastic neural\r\nnetworks with both time-varying and distributed time-varying delays. Together with the driveresponse\r\nconcept, LMI approach, and generalized convex combination, one novel synchronization\r\ncriterion is obtained in terms of LMIs and the condition heavily depends on the upper and lower\r\nbounds of state delay and distributed one. Moreover, the addressed systems can include some\r\nfamous network models as its special cases, which means that our methods extend those present\r\nones. Finally, two numerical examples are given to demonstrate the effectiveness of the presented\r\nscheme.
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