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 …

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 …

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

The cerebellum consists of parallel circuit modules that contribute to diverse behaviors,
spanning motor to cognitive. Recent work employing cell-type-specific tracing has identified …

Local feedforward and recurrent connectivity are rife in the frontal areas of the cerebral
cortex, which gives rise to rich heterogeneous dynamics observed in such areas. Recently …

The cerebellum is hypothesized to represent timing information important for organizing
salient motor events during periodically performed discontinuous movements. To provide …

Perineuronal nets (PNNs) are assemblies of extracellular matrix molecules, which surround
the cell body and dendrites of many types of neuron and regulate neural plasticity. PNNs are …

Communication between the cerebellum and forebrain structures is necessary for motor
learning and has been implicated in a variety of cognitive functions. The exact nature of …

Neurons store information by changing synaptic input weights. In addition, they can adjust
their membrane excitability to alter spike output. Here, we demonstrate a role of such …