The cerebellum resembles a feedforward, three-layer network of neurons in which the
“hidden layer” consists of Purkinje cells (P-cells) and the output layer consists of deep …

Sensorimotor learning is supported by at least two parallel systems: a strategic process that
benefits from explicit knowledge and an implicit process that adapts subconsciously. How do …

Sensorimotor plasticity allows the nervous system to set up appropriate motor and sensory
compensations when individuals face changing demands in a given motor task. A much …

During extended motor adaptation, learning appears to saturate despite persistence of
residual errors. This adaptation limit is not fixed but varies with perturbation variance; when …

Recent work suggests that the rate of learning in sensorimotor adaptation is likely not fixed,
but rather can change based on previous experience. One example is savings, a commonly …

It has been suggested that sensorimotor adaptation involves at least two processes (ie, fast
and slow) that differ in retention and error sensitivity. Previous work has shown that repeated …

Learning from error is often a slow process. In machine learning, the learning rate depends
on a loss function that specifies a cost for error. Here, we hypothesized that during motor …

Anterograde interference refers to the negative impact of prior learning on the propensity for
future learning. There is currently no consensus on whether this phenomenon is transient or …

Sensorimotor learning adapts motor output to maintain movement accuracy. For saccadic
eye movements, learning also alters space perception, suggesting a dissociation between …

As you read this text, your eyes make saccades that guide your fovea from one word to the
next. Accuracy of these movements require the brain to monitor and learn from visual errors …