Inferring Visuomotor Priors for Sensorimotor Learning

• Published in: PLoS computational biology Vol. 7; no. 3; p. e1001112
• Main Authors: Turnham, Edward J. A., Braun, Daniel A., Wolpert, Daniel M.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.03.2011; Public Library of Science (PLoS)
• Subjects: Algorithms; Bayes Theorem; Computational Biology/Systems Biology; Computers; Feedback, Sensory - physiology; Hand; Humans; Hypotheses; Informatics - methods; Learning; Models, Theoretical; Motor Skills; Movement; Neuroscience/Behavioral Neuroscience; Neuroscience/Cognitive Neuroscience; Neuroscience/Experimental Psychology; Neuroscience/Motor Systems; Normal Distribution; Perceptual-motor learning; Physiological aspects; Probability; Probability distribution; Psychomotor Performance; Robotics; Software; Studies; Visual perception; United Kingdom; Computers; Models, Theoretical; Psychomotor Performance; Movement; Humans; Hand; Normal Distribution; Robotics; Learning; Algorithms; Bayes Theorem; Software; Informatics; Motor Skills; Feedback, Sensory

Sensorimotor learning has been shown to depend on both prior expectations and sensory evidence in a way that is consistent with Bayesian integration. Thus, prior beliefs play a key role during the learning process, especially when only ambiguous sensory information is available. Here we develop a no...