Aymar de Rugy

The paper introduces a public dataset of 3D arm reaching movements with gaze data in virtual reality, capturing over 2.5 million samples from 20 participants.

This paper models spinal sensorimotor circuits to show they can generate triphasic motor commands for arm movements without brain input, using a Goal Exploration Process to refine commands.

The paper shows that task errors, not sensory prediction errors, drive latent sensorimotor memory and improve adaptation to visuomotor perturbations.

The paper investigates how task errors influence implicit remapping in sensorimotor adaptation by manipulating target positions during movement.

This study shows that preparing for unilateral movement modulates transcranial magnetic stimulation responses in the opposite limb, reflecting the active limb's force direction in a body-centered coordinate system.