Research Fellows Directory
Professor Daniel Wolpert FMedSci FRS
University of Cambridge
Despite great progress in the field, movement neuroscience is still in its infancy. 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. To examine the computations underlying sensorimotor control, we have developed a research programme that uses computational techniques from machine learning, control theory and signal processing together with novel experimental techniques that include robotic interfaces and virtual reality systems that allow for precise experimental control over sensory inputs and task variables.
Interests and expertise (Subject groups)