A model for the study of the dynamic properties of inferior olive neuron is presented. The model, a dynamical system, comprises two autonomous components of minimal complexity that are capable of reproducing the large gamut of experimentally observed inferior olive neuron dynamics. The two autonomous parts are responsible for largely different aspects of the dynamic profile of the model. These include subthreshold oscillations and different modes (high and low threshold) of action potential generation.