Motor learning encompasses a wide range of phenomena, ranging from relatively low-level
mechanisms for maintaining calibration of our movements, to making high-level cognitive …

Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and
widely considered to be the unwanted consequence of a noisy nervous system. However …

In order to generate skilled and efficient actions, the motor system must find solutions to
several problems inherent in sensorimotor control, including nonlinearity, nonstationarity …

When we learn a new motor skill, such as playing an approaching tennis ball, both our
sensors and the task possess variability. Our sensors provide imperfect information about …

Multiple processes may contribute to motor skill acquisition, but it is thought that many of
these processes require sleep or the passage of long periods of time ranging from several …

Sensorimotor adaptation occurs when there is a discrepancy between the expected and
actual sensory consequences of a movement. This learning can be precisely measured, but …

Although motor learning is likely to involve multiple processes, phenomena observed in
error-based motor learning paradigms tend to be conceptualized in terms of only a single …

There is mounting evidence for the idea that performance in a visuomotor rotation task can
be supported by both implicit and explicit forms of learning. The implicit component of …

The question of whether it is possible to automate the scientific process is of both great
theoretical interest, and increasing practical importance because, in many scientific areas …

The current view of motor learning suggests that when we revisit a task, the brain recalls the
motor commands it previously learned. In this view, motor memory is a memory of motor …