Abstract:Dynamical behaviors near saddlenode bifurcation point in nervous system, in both deterministic and stochastic neuronal model, were simulated. The characteristics of neural firing induced by noise were revealed and identified to be a stochastic renewal process. Correspondingly, the autonomous stochastic resonance induced by noise was also studied. The results not only reveal the dynamics and characteristics of firing patterns near the saddlenode bifurcation point, but also provide practical method to identify the saddlenode bifurcation point in nervous system.