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.

中文翻译：

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小脑中的预测信号：超出有监督的运动学习

虽然小脑学习的经典观点表明，这种结构主要是根据基于错误的监督学习规则来完善运动，但新兴证据表明，小脑也可以利用更广泛的学习规则来促进各种行为，包括认知过程。总之，这些证据表明小脑回路在生成和测试有关运动，奖励和其他非运动操作的预测中具有广泛的作用。然而，对小脑加工的这种扩展观点也提出了许多新的问题，即这种明显的功能多样性是如何从具有惊人同质性的结构中产生的。因此，