Our laboratory studies the computational basis of human motor performance. Characterizing motor learning processes in healthy human adults will identify the specific signals used to plan movements and build motor predictions, which will in turn predict the neuronal activities required for motor learning. Comparing these predictions to physiological recordings from non-human primates will indicate the brain areas that likely underlie these computations.

Understanding normal motor behavior and its neural basis will make possible the measurement of these processes in disease, further the development of insightful clinical tests in movement neurology, facilitate the early detection of symptoms, and make possible treatments of motor diseases at the earliest and least problematic stages.