The stability of discrete Hopfield neural networks not only has an important theoretical significance, but also is the foundation of the applications of the networks. In this paper, the dynamic behavior of asymmetric discrete Hopfield neural network is studied mainly in parallel updating mode, and some new stability conditions of the neural networks are given. The obtained results serve the function of further generalizing some existing conclusions.