A Computational Model for Estimating the Speech Motor System's Sensitivity to Auditory Prediction Errors.

ABSTRACT: Purpose The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems have similar error sensitivity. Method Participants (N = 50) completed an adaptation paradigm, in which their first and second formants were perturbed such that a participant's /ε/ would sound like her /ӕ/. We measured adaptive responses to the perturbations at early (0-80 ms) and late (220-300 ms) time points relative to the onset of the perturbations. As data-driven correlates of the error sensitivity of the feedforward and feedback systems,

SUBMITTER: Daliri A 

PROVIDER: S-EPMC8740760 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature