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 …

Synaptic pruning is a fundamental process of neuronal circuit refinement in learning and
memory. Accumulating evidence suggests that glia participates in sculpting the neuronal …

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

This book reviews how people and animals learn and how their behaviors are later changed
as a result of this learning. Nearly all of our behaviors are influenced by prior learning …

Although our ability to store semantic declarative information can nowadays be readily
surpassed by that of simple personal computers, our ability to learn and express procedural …

Three decades of electrophysiological research on cerebellar cortical activity underlying
Pavlovian conditioning have expanded our understanding of motor learning in the brain …

Purkinje cells (PCs) of the cerebellar cortex are necessary for controlling movement with
precision, but a mechanistic explanation of how the activity of these inhibitory neurons …

We sleep almost one-third of our lives and sleep plays an important role in critical brain
functions like memory formation and consolidation. The role of sleep in cerebellar …

Eyeblink conditioning in restrained rabbits has served as an excellent model of cerebellar-
dependent motor learning for many decades. In mice, the role of the cerebellum in eyeblink …