Abstract
We present a functional model of the cerebellum comprising cerebellar cortex, inferior olive, cerebellar and brain-stem nuclei. Detailed single-neuron modeling combined with large network simulations show that (i) Golgi cells can restrict granule cell spikes to narrow time windows, that (ii) rebound firing in cerebellar nuclei cells leads to a delayed reverberation of Purkinje cell activity within the network, and that (iii) the system is able to learn spatio-temporal patterns of neuronal activity. These results shed new light on several experimental observations and explain how the cerebellum can solve timing tasks on a time scale of several hundreds of milliseconds.
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