Although the cerebellum is typically linked to supervised learning algorithms, it also exhibits
extensive connections to reward processing. In this study, we investigated the cerebellum's …

Although the cerebellum is widely associated with supervised learning algorithm, abundant
reward-related representations were found in the cerebellum. We ask the question whether …

Classical models of cerebellar learning posit that climbing fibers operate according to a
supervised learning rule to instruct changes in motor output by signaling the occurrence of …

Classical models of cerebellar learning posit that climbing fibers operate according to a
supervised learning rule to instruct changes in motor output by signaling the occurrence of …

Cerebellar climbing fibers convey diverse signals, but how they are organized in the
compartmental structure of the cerebellar cortex during learning remains largely unclear. We …

The prevailing model of cerebellar learning states that climbing fibers (CFs) are both driven
by, and serve to correct, erroneous motor output. However, this model is grounded largely in …

Daynamic functional organization by synchronization is theorized to be essential for
dimension reduction of the cerebellar learning space. We analyzed a large amount of …

Climbing fiber input to Purkinje cells has been thought to instruct learning related changes in
simple spikes and cause behavioral changes through an error-based learning mechanism …

The cerebellum has long been considered crucial for supervised motor learning and its
optimization-. However, new evidence has also implicated the cerebellum in reward based …

The cerebellum is involved in cognition next to motor coordination. During complex tasks,
climbing fiber input to the cerebellum can deliver seemingly opposite signals, covering both …