Katinka van der Kooij

This study shows that reinforcement-based processes actively regulate motor exploration along redundant solution manifolds, challenging the idea that such behavior is passive.

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.