Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long
been considered an important component of learning and memory. Computational and …

The past several years have brought revelations and paradigm shifts in research on the
cerebellum. Historically viewed as a simple sensorimotor controller with homogeneous …

The neocortex and cerebellum interact to mediate cognitive functions. It remains unknown
how the two structures organize into functional networks to mediate specific behaviors. Here …

Over the past 30 years, cumulative evidence has indicated that cerebellar function extends
beyond sensorimotor control. This view has emerged from studies of neuroanatomy …

The cerebellum has long been proposed to play a role in cognitive function, although this
has remained controversial. This idea has received renewed support with the recent …

When animals interact with complex environments, their neural circuits must separate
overlapping patterns of activity that represent sensory and motor information. Pattern …

Supervised learning plays a key role in the operation of many biological and artificial neural
networks. Analysis of the computations underlying supervised learning is facilitated by the …

Over the past several decades, theories about cerebellar learning have evolved. A relatively
simple view that highlighted the contribution of one major form of heterosynaptic plasticity to …

The cerebellar cortex is an important system for relating neural circuits and learning. Its
promise reflects the longstanding idea that it contains simple, repeated circuit modules with …

While classical views of cerebellar learning have suggested that this structure predominantly
operates according to an error-based supervised learning rule to refine movements …