The　global　exponential　antisynchronization　inmean　square　ofmemristive　neural　networks　with　stochastic　perturbation　and　mixed　time-　varying　delays　is　studied　in　this　paper.　Then,　two　kinds　of　novel　delay-　dependent　and　delay-　independent　adaptive　controllers　are　designed.　With　the　ability　of　adapting　to　environment　changes,　the　proposed　controllers　can　modify　their　behaviors　to　achieve　the　best　performance.　In　particular,　on　the　basis　of　the　differential　inclusions　theory,　inequality　theory,　and　stochastic　analysis　techniques,　several　sufficient　conditions　are　obtained　to　guarantee　the　exponential　antisynchronization　between　the　drive　system　and　response　system.　Furthermore,　two　numerical　simulation　examples　are　provided　to　the　validity　of　the　derived　criteria.