Sub-optimality in motor planning is not improved by explicit observation of motor uncertainty.

ABSTRACT: To make optimal decisions under risk, one must correctly weight potential rewards and penalties by the probabilities of receiving them. In motor decision tasks, the uncertainty in outcome is a consequence of motor uncertainty. When participants perform suboptimally as they often do in such tasks, it could be because they have insufficient information about their motor uncertainty: with more information, their performance could converge to optimal as they learn their own motor uncertainty. Alternatively, their suboptimal performance may reflect an inability to make use of the information they have or even to perform the correct computations. To discriminate between these two possibilities, we performed an experiment spanning two days. On the first day, all participants performed a reaching

SUBMITTER: Ota K 

PROVIDER: S-EPMC6795881 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature