Local synaptic inhibition mediates cerebellar pattern separation necessary for learned sensorimotor associations

Abstract

The cerebellar cortex plays a key role in generating predictive sensorimotor associations. To do so, the granule cell layer is thought to establish unique sensorimotor representations for learning. However, how this is achieved and how granule cell population responses contribute to behavior have remained unclear. To address these questions, we have used in vivo calcium imaging and granule cell-specific pharmacological manipulation of synaptic inhibition in awake, behaving mice. We find that inhibition sparsens and thresholds sensory responses, limiting overlap between sensory ensembles and preventing spiking in many granule cells that receive excitatory input. Moreover, we find that inhibition can be recruited in a stimulus-specific manner to powerfully decorrelate multisensory ensembles. Consistent with these results, we find that granule cell inhibition is required for sensory discrimination in a cerebellum-dependent behavior. These data thus reveal new mechanisms for granule cell layer pattern separation beyond those envisioned by classical models.