The encoding of stochastic regularities is facilitated by action-effect predictions

Abstract Our brains continuously build and update predictive models of the world, sources of prediction being drawn for example from sensory regularities and/or our own actions. Yet, recent results in the auditory system indicate that stochastic regularities may not be easily encoded when a rare med...

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Autores principales:	Betina Korka, Erich Schröger, Andreas Widmann
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/485981601d9f4d6e95a053ea89382f24
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spelling	oai:doaj.org-article:485981601d9f4d6e95a053ea89382f242021-12-02T17:04:05ZThe encoding of stochastic regularities is facilitated by action-effect predictions10.1038/s41598-021-86095-42045-2322https://doaj.org/article/485981601d9f4d6e95a053ea89382f242021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86095-4https://doaj.org/toc/2045-2322Abstract Our brains continuously build and update predictive models of the world, sources of prediction being drawn for example from sensory regularities and/or our own actions. Yet, recent results in the auditory system indicate that stochastic regularities may not be easily encoded when a rare medium pitch deviant is presented between frequent high and low pitch standard sounds in random order, as reflected in the lack of sensory prediction error event-related potentials [i.e., mismatch negativity (MMN)]. We wanted to test the implication of the predictive coding theory that predictions based on higher-order generative models—here, based on action intention, are fed top-down in the hierarchy to sensory levels. Participants produced random sequences of high and low pitch sounds by button presses in two conditions: In a “specific” condition, one button produced high and the other low pitch sounds; in an “unspecific” condition, both buttons randomly produced high or low-pitch sounds. Rare medium pitch deviants elicited larger MMN and N2 responses in the “specific” compared to the “unspecific” condition, despite equal sound probabilities. These results thus demonstrate that action-effect predictions can boost stochastic regularity-based predictions and engage higher-order deviance detection processes, extending previous notions on the role of action predictions at sensory levels.Betina KorkaErich SchrögerAndreas WidmannNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Betina Korka Erich Schröger Andreas Widmann The encoding of stochastic regularities is facilitated by action-effect predictions
description	Abstract Our brains continuously build and update predictive models of the world, sources of prediction being drawn for example from sensory regularities and/or our own actions. Yet, recent results in the auditory system indicate that stochastic regularities may not be easily encoded when a rare medium pitch deviant is presented between frequent high and low pitch standard sounds in random order, as reflected in the lack of sensory prediction error event-related potentials [i.e., mismatch negativity (MMN)]. We wanted to test the implication of the predictive coding theory that predictions based on higher-order generative models—here, based on action intention, are fed top-down in the hierarchy to sensory levels. Participants produced random sequences of high and low pitch sounds by button presses in two conditions: In a “specific” condition, one button produced high and the other low pitch sounds; in an “unspecific” condition, both buttons randomly produced high or low-pitch sounds. Rare medium pitch deviants elicited larger MMN and N2 responses in the “specific” compared to the “unspecific” condition, despite equal sound probabilities. These results thus demonstrate that action-effect predictions can boost stochastic regularity-based predictions and engage higher-order deviance detection processes, extending previous notions on the role of action predictions at sensory levels.
format	article
author	Betina Korka Erich Schröger Andreas Widmann
author_facet	Betina Korka Erich Schröger Andreas Widmann
author_sort	Betina Korka
title	The encoding of stochastic regularities is facilitated by action-effect predictions
title_short	The encoding of stochastic regularities is facilitated by action-effect predictions
title_full	The encoding of stochastic regularities is facilitated by action-effect predictions
title_fullStr	The encoding of stochastic regularities is facilitated by action-effect predictions
title_full_unstemmed	The encoding of stochastic regularities is facilitated by action-effect predictions
title_sort	encoding of stochastic regularities is facilitated by action-effect predictions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/485981601d9f4d6e95a053ea89382f24
work_keys_str_mv	AT betinakorka theencodingofstochasticregularitiesisfacilitatedbyactioneffectpredictions AT erichschroger theencodingofstochasticregularitiesisfacilitatedbyactioneffectpredictions AT andreaswidmann theencodingofstochasticregularitiesisfacilitatedbyactioneffectpredictions AT betinakorka encodingofstochasticregularitiesisfacilitatedbyactioneffectpredictions AT erichschroger encodingofstochasticregularitiesisfacilitatedbyactioneffectpredictions AT andreaswidmann encodingofstochasticregularitiesisfacilitatedbyactioneffectpredictions
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The encoding of stochastic regularities is facilitated by action-effect predictions

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