The origin of the frequency selectivity in VOR motor learning revealed by a realistic cerebellar spiking neuron network model

Methods In the present study, we investigated the neural origin of the frequency selectivity in VOR motor learning by using a realistic mathematical model of the VOR in which cerebellar cortical neuronal circuitry is explicitly composed by spiking neuron models of granule, Golgi, basket/stellate, and Purkinje cells. The results suggest that the apparent multiple frequency channels in the VOR neuronal pathway are implicitly composed in the cerebellar cortical neuronal circuitry as band-pass filters for vestibular and/or efference copy of eye movement signals that are formed by the cerebellar synaptic plasticity. 1. Computer simulation of vestibuloocular reflex motor learning using a realistic cerebellar cortical neuronal network model.