Research Projects
We use theoretical, computational and experimental studies to investigate the computational principles underlying skilled motor behaviour. Our focus is on the control of the hand and arm as a model system that demonstrates many of the features which make sensorimotor control hard. 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
Featured publication
Multiple motor memories are learned to control different points on a tool
TED talk "The real reason for brains"