Mathematical model of a small neuron

Cerebellum is important in controlling, fine-tuning and predicting movements. Here a mathematical model of the cerebellar granule neuron was developed to help to explain the dynamics of the non-linear ionic currents underlying the neuronal excitability. The model neuron was able to reproduce the experimentally recorded firing pattern, when six voltage- and time-dependent ion channel types and simplified calcium dynamics were implemented. A model of cerebellar learning, based on most recent physiological data from single neurons, may also be used for engineering applications, for example for adaptive movement prediction when designing robots.