Naser Al-Fawakhiri

This study shows that learned action values modulate error-based motor adaptation, revealing an interaction between reinforcement learning and motor memory.

The paper decouples movement distance and visual distance in Fitts' Law, showing both influence movement times and that their weighting depends on sensory context.

The paper investigates an optimal error rate for motor skill learning and finds that performance improves most at around 30% error rate.

This study investigates how task success affects implicit motor adaptation through two manipulations: target size and target location, finding that target jumps have a more reliable effect.

This study models how confidence judgments during visuomotor learning integrate recent error history and environmental volatility.

This study investigates motor generalization by examining the role of top-down decisions in transferring learned movements to novel contexts, finding a strong link between subjective similarity ratings and motor performance.