Maura Casadio

Extended practice with kinesthetic vibrotactile feedback improves reaching accuracy and efficiency, with performance comparable to visual feedback after 10 hours of training.

This study shows that augmenting variability in the task space during motor learning improves consolidation, while variability in the null space does not, due to its impact on pre-existing coordination strategies.

The paper models motor learning as a deterministic dynamical process involving forward and inverse internal models, showing exponential convergence toward a solution.

This study investigates vibrotactile discrimination across arm sites and stimulus timing, finding sequential presentation improves discrimination and suggesting the arm is viable for multivariate feedback in BMIs.

This study shows that vibrotactile feedback improves reach accuracy by reducing proprioceptive drift and altering movement planning, but also leads to a cognitive strategy that persists despite training.

This study investigates how motor variability affects learning in a redundant task, finding that higher variability during practice leads to larger errors, regardless of whether the variability is in the task or null space.