Nicolas Ludolph

This study examines cerebellar involvement in reward-based motor learning by comparing patients with focal lesions to controls in a cart-pole balancing task.

This study investigates how reward-based learning and motor adaptation interact during skill acquisition with changing system dynamics, finding that gradual changes support learning despite short-term performance drops.

This study shows that motor training improves the precision of perceptual state extrapolation by refining internal forward models, even without explicit perceptual training.

The paper presents an improved Kinect-based motion capturing system for gait assessment that is flexible, easy to set up, and provides high accuracy comparable to a gold standard system.