In this paper,a feedforward neuronal network based on HodgkinHuxley neuronal model is constructed and propagation of the mean firing rate in such a feedforward neuronal network is studied.The obtained results illustrate that proper interlayer connection probability and input noise intensity could promote the efficiency of synchronization in the feedforward neuronal network,which hence enhances the performance of stable propagation of the firing rate.Moreover,by introducing and modifying the synaptic time delay,we find that proper time delay could significantly promote the full synchronization in the neuronal coupled systems and information propagation in the studied feedforward neuronal networks.