%A Wei,Kunlin %A Koerding,Konrad %D 2010 %J Frontiers in Computational Neuroscience %C %F %G English %K bayesian statistics,motor adaptation,motor learning,uncertainty %Q %R 10.3389/fncom.2010.00011 %W %L %M %P %7 %8 2010-May-11 %9 Original Research %+ Dr Kunlin Wei,Bayesian Behavior Lab,Sensory Motor Performance Program,Rehabilitation Institute of Chicago,Chicago,United States,k-wei@northwestern.edu %+ Dr Kunlin Wei,Northwestern University,Departments of Physiology, Physical Medicine and Rehabilitation, and Applied Mathematics,Chicago, IL,United States,k-wei@northwestern.edu %+ Dr Kunlin Wei,Peking University,Department of Psychology,Beijing,China,k-wei@northwestern.edu %# %! Uncertainty affects sensorimotor learning %* %< %T Uncertainty of feedback and state estimation determines the speed of motor adaptation %U https://www.frontiersin.org/articles/10.3389/fncom.2010.00011 %V 4 %0 JOURNAL ARTICLE %@ 1662-5188 %X Humans can adapt their motor behaviors to deal with ongoing changes. To achieve this, the nervous system needs to estimate central variables for our movement based on past knowledge and new feedback, both of which are uncertain. In the Bayesian framework, rates of adaptation characterize how noisy feedback is in comparison to the uncertainty of the state estimate. The predictions of Bayesian models are intuitive: the nervous system should adapt slower when sensory feedback is more noisy and faster when its state estimate is more uncertain. Here we want to quantitatively understand how uncertainty in these two factors affects motor adaptation. In a hand reaching experiment we measured trial-by-trial adaptation to a randomly changing visual perturbation to characterize the way the nervous system handles uncertainty in state estimation and feedback. We found both qualitative predictions of Bayesian models confirmed. Our study provides evidence that the nervous system represents and uses uncertainty in state estimate and feedback during motor adaptation.