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 compartmentalization of the cerebellum into modules is often used to discuss its
function. What, exactly, can be considered a module, how do they operate, can they be …

Fifty years have passed since David Marr, Masao Ito, and James Albus proposed seminal
models of cerebellar functions. These models share the essential concept that parallel-fiber …

Tyrosine hydroxylase (Th) expression has previously been reported in Purkinje cells (PCs)
of rodents and humans, but its role in the regulation of behavior is not understood …

The climbing fiber–Purkinje cell circuit is one of the most powerful and highly conserved in
the central nervous system. Climbing fibers exert a powerful excitatory action that results in a …

The cerebellum plays a critical role in coordinating and learning complex movements.
Although its importance has been well recognized, the mechanisms of learning remain hotly …

The cerebellum has a parasagittal modular architecture characterized by precisely
organized climbing fiber (CF) projections that are congruent with alternating aldolase …

The rules governing cerebellar output are not fully understood, but must involve Purkinje cell
(PC) activity, as PCs are the major input to deep cerebellar nuclear (DCN) cells (which form …

We discuss a new framework for understanding the structure of motor control. Our approach
integrates existing models of motor control with the reality of hierarchical cortical processing …