Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia.

ABSTRACT: Behavioral speech tasks have been widely used to understand the mechanisms of speech motor control in typical speakers as well as in various clinical populations. However, determining which neural functions differ between typical speakers and clinical populations based on behavioral data alone is difficult because multiple mechanisms may lead to the same behavioral differences. For example, individuals with cerebellar ataxia (CA) produce atypically large compensatory responses to pitch perturbations in their auditory feedback, compared to typical speakers, but this pattern could have many explanations. Here, computational modeling techniques were used to address this challenge. Bayesian inference was used to fit a state feedback control (SFC) model of voice fundamental frequency (fo) contr

SUBMITTER: Gaines JL 

PROVIDER: S-EPMC11498721 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature