TY - JOUR TI - Prediction signals in the cerebellum: Beyond supervised motor learning AU - Hull, Court A2 - Ivry, Richard B VL - 9 PY - 2020 DA - 2020/03/30 SP - e54073 C1 - eLife 2020;9:e54073 DO - 10.7554/eLife.54073 UR - https://doi.org/10.7554/eLife.54073 AB - While classical views of cerebellar learning have suggested that this structure predominantly operates according to an error-based supervised learning rule to refine movements, emerging evidence suggests that the cerebellum may also harness a wider range of learning rules to contribute to a variety of behaviors, including cognitive processes. Together, such evidence points to a broad role for cerebellar circuits in generating and testing predictions about movement, reward, and other non-motor operations. However, this expanded view of cerebellar processing also raises many new questions about how such apparent diversity of function arises from a structure with striking homogeneity. Hence, this review will highlight both current evidence for predictive cerebellar circuit function that extends beyond the classical view of error-driven supervised learning, as well as open questions that must be addressed to unify our understanding cerebellar circuit function. KW - cerebellum KW - motor learning KW - neural circuits JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -