Target Uncertainty Mediates Sensorimotor Error Correction.

ABSTRACT: Human movements are prone to errors that arise from inaccuracies in both our perceptual processing and execution of motor commands. We can reduce such errors by both improving our estimates of the state of the world and through online error correction of the ongoing action. Two prominent frameworks that explain how humans solve these problems are Bayesian estimation and stochastic optimal feedback control. Here we examine the interaction between estimation and control by asking if uncertainty in estimates affects how subjects correct for errors that may arise during the movement. Unbeknownst to participants, we randomly shifted the visual feedback of their finger position as they reached to indicate the center of mass of an object. Even though participants were given ample time to compensa

SUBMITTER: Acerbi L 

PROVIDER: S-EPMC5271325 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature