Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit
sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the …

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 …

Highlights•Analysis of variability provides information about control priorities.•Variability
comprises a multitude of processes that contribute to skill improvement.•Stages of learning …

Sensorimotor adaptation is essential for keeping our movements well calibrated in response
to changes in the body and environment. For over a century, researchers have studied …

Millions of neurons drive the activity of hundreds of muscles, meaning many different neural
population activity patterns could generate the same movement. Studies have suggested …

The neurobehavioral mechanisms of human motor-control and learning evolved in free
behaving, real-life settings, yet this is studied mostly in reductionistic lab-based experiments …

Despite recent advances in robot-assisted training, the benefits of haptic guidance on motor
(re) learning are still limited. While haptic guidance may increase task performance during …

The human sensorimotor control system has exceptional abilities to perform skillful actions.
We easily switch between strenuous tasks that involve brute force, such as lifting a heavy …

Motor variability plays an important role in motor learning, although the exact mechanisms of
how variability affects learning are not well understood. Recent evidence suggests that …

Anxiety results in sub-optimal motor learning, but the precise mechanisms through which
this effect occurs remain unknown. Using a motor sequence learning paradigm with …