Raphael Q. Gastrock

The paper examines how practice improves motor execution speed and accuracy, showing durable gains that generalize to novel tracks but are constrained by movement direction.

This study examines how movement precision and proprioception affect motor control and adaptation using a large dataset, finding no strong predictors of adaptation except for proprioceptive precision changes.

This study uses EEG to distinguish neural mechanisms of motor adaptation and de novo learning by analyzing preparatory and feedback-related dynamics across different perturbation types.

The paper tests the assumption that implicit and explicit motor adaptation measures add linearly and finds they are not additive.

The paper distinguishes de novo learning and motor adaptation, finding distinct retention and generalization patterns between the two learning types.

The paper shows that external error attribution reduces implicit learning in movement adaptation but not proprioceptive changes in hand localization.