title: Computational principles of movement neuroscience.
abstract: Unifying principles of movement have emerged from the computational study of motor control. We review several of these principles and show how they apply to processes such as motor planning, control, estimation, prediction and learning. Our goal is to demonstrate how specific models emerging from the computational approach provide a theoretical framework for movement neuroscience.
authors: Sobell Department of Neurophysiology, Institute of Neurology, University College London, UK. wolpert@hera.ucl.ac.uk
authors: D M
authors: DM
authors: Wolpert
authors: Z
authors: Z
authors: Ghahramani
mesh_terms: D000818:Animals; D002490:Central Nervous System / Q000166:cytology / Q000502:physiology*; D005246:Feedback / Q000502:physiology; D006801:Humans; D007858:Learning / Q000502:physiology; D008959:Models, Neurological; D009068:Movement / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000166:cytology / Q000502:physiology; D011597:Psychomotor Performance / Q000502:physiology*; D012677:Sensation / Q000502:physiology