Based on the stability theory of dynamical system, numerical computation of bifurcation diagram and the largest Lyapunov exponent of the linearized systems, the synchronization dynamics of coupled fast spike neurons with excitory chemical synapse was studied. It is shown that the coupled neurons can exhibit rich synchronization behaviors such as various periodic and chaotic synchronizations when some key parameters are changed. The obtained results are instructive for the understanding of synchronization in neuronal system.