In this paper,the mean-square global exponential stability in Lagrange sense for delayed recurrent neural networks with Markovian switching is studied.We consider the Lurie-type activation functions,which include both bounded and unbounded activation functions.A sufficiency criterion for mean-square exponential stability of recurrent neural networks with Markovian switching is obtained.Finally,a numerical simulation example is provided to examine the correctness and effectiveness of our result.