Tuesday, January 17, 2012
Beckman Laboratory 24
Cancelled - Computation and Neural Systems Seminar
Probabilistic Models of Sensorimotor Control and Decision Making
Daniel Wolpert, rofessor, Department of Engineering, University of Cambridge
The effortless ease with which humans move our arms, our eyes, even our lips when we speak masks the true complexity of the control processes involved. This is evident when we try to build machines to perform human control tasks. While computers can now beat grandmasters at chess, no computer can yet control a robot to manipulate a chess piece with the dexterity of a six-year-old child. I will review our recent work on how the humans learn to make skilled movements covering probabilistic models of learning, including Bayesian and structural learning, and the interaction between decision making and sensorimotor control.