ArticleFrontiers in psychology2019
Modeling Sensory Preference in Speech Motor Planning: A Bayesian Modeling Framework.
Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Active inference and speech motor control.Psychonomic bulletin & review · 2026Review
- Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia.PLoS computational biology · 2024Article
- Mirrors and toothaches: commonplace manipulations of non-auditory feedback availability change perceived speech intelligibility.Frontiers in human neuroscience · 2024Article
- Mechanisms of sensorimotor adaptation in a hierarchical state feedback control model of speech.PLoS computational biology · 2023Article
- How the conception of control influences our understanding of actions.Nature reviews. Neuroscience · 2023Review
- Perturbing the consistency of auditory feedback in speech.Frontiers in human neuroscience · 2022Article
- Quick compensatory mechanisms for tongue posture stabilization during speech production.Journal of neurophysiology · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experimental studies of speech production involving compensations for auditory and somatosensory perturbations and adaptation after training suggest that both types of sensory information are considered to plan and monitor speech production. Interestingly, individual sensory preferences have been observed in this context: subjects who compensate less for somatosensory perturbations compensate more for auditory perturbations, and
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.