Nina Marieke van Mastrigt

This study shows that binary feedback can drive implicit motor learning, as evidenced by a consistent aftereffect in a center-out reaching task.

This study investigates whether faster movement speeds improve reward-based motor learning by increasing variability, but finds no difference in learning between fast and slow movement sessions.

The paper quantifies exploration in reward-based motor learning by comparing variability following rewarded and non-rewarded trials, finding that sensorimotor noise estimates differ based on trial type.

This study investigates reward-based learning in a 3D trajectory task, finding that learning outcomes are not improved by separating feedback on task-relevant factors.