Cerebellar cell type classification

We are combining cell type-specific optogenetics, electrophysiology, and machine learning to develop methods to classify cerebellar neurons based on their unique functional identities. This project is a collaboration between several cerebellar labs using high-density extracellular electrophysiology probes in multiple species (mouse, rat, and macaque). Our aim is to provide a fully integrated open-source toolkit for automatic cell type classification of high-density recordings in the cerebellum that will greatly facilitate a circuit-wide understanding of the contribution of different cell types to cerebellar-dependent behaviours.