This paper applies the classical prediction error method (PEM) to estimation of nonlinear discrete-time models neuronal systems subject input-additive noise. While system exhibits excitability, bifurcations, and limit-cycle oscillations, we prove consistency parameter procedure under output feedback. Hence, this provides a rigorous framework for application conventional identification methods s...