Antoine De Comite

This paper shows that movement duration in reaching tasks can be explained by infinite horizon optimal feedback control, capturing tradeoffs between duration, accuracy, and task parameters.

The paper investigates foot placement control across species, finding shared behavioral signatures and varying control mechanisms based on neuromechanical embodiment.

This study develops magnetoelectric nanodiscs (MENDs) for deep brain stimulation in Parkinson's disease models, showing motor improvements and reduced oxidative stress compared to traditional DBS.

The paper develops a model that continuously monitors cost-to-go during reaching movements to enable online control adjustments and decision-making in response to perturbations.

This study investigates how humans adjust their reaching control in response to dynamic changes in target width, showing continuous online tuning of task parameters rather than discrete policy switches.

This study investigates how target reward influences feedback control during motor tasks, finding increased feedback gains and changes in movement flexibility based on reward context.

This study shows that human reaching movements adjust control strategies online in response to changes in task goals or environmental constraints within ~150 ms.