title: Computations underlying sensorimotor learning.
abstract: The study of sensorimotor learning has a long history. With the advent of innovative techniques for studying learning at the behavioral and computational levels new insights have been gained in recent years into how the sensorimotor system acquires, retains, represents, retrieves and forgets sensorimotor tasks. In this review we highlight recent advances in the field of sensorimotor learning from a computational perspective. We focus on studies in which computational models are used to elucidate basic mechanisms underlying adaptation and skill acquisition in human behavior.
authors.affiliation: Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK. Electronic address: wolpert@eng.cam.ac.uk.
authors.forename: Daniel M
authors.initials: DM
authors.lastname: Wolpert
authors.affiliation: Department of Psychology and Centre for Neuroscience Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
authors.forename: J Randall
authors.initials: JR
authors.lastname: Flanagan
mesh_terms: D000222:Adaptation, Physiological / Q000502:physiology*; D006801:Humans; D007858:Learning / Q000502:physiology*; D008954:Models, Biological