EITAN HEMED (PhD)

Eitan is currently in his fourth year as a PhD candidate in the direct PhD track. In addition, he was the MCL's former lab manager.

His main research interest is Motor Control, and accordingly his dissertation deals with evaluation of actions' effectiveness. Crudely, he studies how humans learn from control feedback about the effectiveness of their responses. He differentiates between explicit measures of action selection (e.g, the finger selected to respond to a stimuli) and implicit execution of actions (for example, response speed) which seem to be influenced differently by various factors (to name a few - action-effect contingency, "Delta-p", temporal contiguity and spatial predictability).