This　paper　is　mainly　concerned　with　the　problem　for　the　robustly　exponential　stability　in　mean　square　moment　of　uncertain　neutral　stochastic　neural　networks　with　interval　time-varying　delay.　With　an　appropriate　augmented　Lyapunov-Krasovskii　functional　(LKF)　formulated,　the　convex　combination　method　is　utilised　to　estimate　the　derivative　of　the　LKF.　Some　new　delay-dependent　exponential　stability　criteria　for　such　systems　are　obtained　in　terms　of　linear　matrix　inequalities,　which　involve　fewer　matrix　variables　and　have　less　conservatism.　Finally,　two　illustrative　numerical　examples　are　given　to　show　the　effectiveness　of　our　obtained　results.