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Now you hear it: a predictive coding model for understanding rhythmic incongruity

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Now you hear it: a predictive coding model for understanding rhythmic incongruity. / Vuust, Peter; Dietz, Martin; Witek, Maria et al.

In: Annals of the New York Academy of Sciences, Vol. 1423, No. 1, 07.2018, p. 19-29.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Vuust, P, Dietz, M, Witek, M & Kringelbach, ML 2018, 'Now you hear it: a predictive coding model for understanding rhythmic incongruity', Annals of the New York Academy of Sciences, vol. 1423, no. 1, pp. 19-29. https://doi.org/10.1111/nyas.13622

APA

Vuust, P., Dietz, M., Witek, M., & Kringelbach, M. L. (2018). Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences, 1423(1), 19-29. https://doi.org/10.1111/nyas.13622

CBE

Vuust P, Dietz M, Witek M, Kringelbach ML. 2018. Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences. 1423(1):19-29. https://doi.org/10.1111/nyas.13622

MLA

Vuust, Peter et al. "Now you hear it: a predictive coding model for understanding rhythmic incongruity". Annals of the New York Academy of Sciences. 2018, 1423(1). 19-29. https://doi.org/10.1111/nyas.13622

Vancouver

Vuust P, Dietz M, Witek M, Kringelbach ML. Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences. 2018 Jul;1423(1):19-29. Epub 2018 Apr. doi: 10.1111/nyas.13622

Author

Vuust, Peter ; Dietz, Martin ; Witek, Maria et al. / Now you hear it: a predictive coding model for understanding rhythmic incongruity. In: Annals of the New York Academy of Sciences. 2018 ; Vol. 1423, No. 1. pp. 19-29.

Bibtex

@article{236081d897244dbb80b2bb1e658aa279,
title = "Now you hear it: a predictive coding model for understanding rhythmic incongruity",
abstract = "Rhythmic incongruity in the form of syncopation is a prominent feature of many contemporary musical styles. Syncopations afford incongruity between rhythmic patterns and the meter, giving rise to mental models of differently accented isochronous beats. Syncopations occur either in isolation or as part of rhythmic patterns, so-called grooves. On the basis of the predictive coding framework, we discuss how brain processing of rhythm can be seen as a special case of predictive coding. We present a simple, yet powerful model for how the brain processes rhythmic incongruity: the model for predictive coding of rhythmic incongruity. Our model proposes that a given rhythm{\textquoteright}s syncopation and its metrical uncertainty (precision) is at the heart of how the brain models rhythm and meter based on priors, predictions, and prediction error. Our minimal model can explain prominent features of brain processing of syncopation: why isolated syncopations lead to stronger prediction error in the brains of musicians, as evidenced by larger event-related potentials to rhythmic incongruity, and why we all experience a stronger urge to move to grooves with a medium level of syncopation compared with low and high levels of syncopation.",
keywords = "Predictive coding, Music",
author = "Peter Vuust and Martin Dietz and Maria Witek and Kringelbach, {Morten L.}",
year = "2018",
month = jul,
doi = "10.1111/nyas.13622",
language = "English",
volume = "1423",
pages = "19--29",
journal = "New York Academy of Sciences. Annals",
issn = "0077-8923",
publisher = "Wiley-Blackwell Publishing, Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Now you hear it: a predictive coding model for understanding rhythmic incongruity

AU - Vuust, Peter

AU - Dietz, Martin

AU - Witek, Maria

AU - Kringelbach, Morten L.

PY - 2018/7

Y1 - 2018/7

N2 - Rhythmic incongruity in the form of syncopation is a prominent feature of many contemporary musical styles. Syncopations afford incongruity between rhythmic patterns and the meter, giving rise to mental models of differently accented isochronous beats. Syncopations occur either in isolation or as part of rhythmic patterns, so-called grooves. On the basis of the predictive coding framework, we discuss how brain processing of rhythm can be seen as a special case of predictive coding. We present a simple, yet powerful model for how the brain processes rhythmic incongruity: the model for predictive coding of rhythmic incongruity. Our model proposes that a given rhythm’s syncopation and its metrical uncertainty (precision) is at the heart of how the brain models rhythm and meter based on priors, predictions, and prediction error. Our minimal model can explain prominent features of brain processing of syncopation: why isolated syncopations lead to stronger prediction error in the brains of musicians, as evidenced by larger event-related potentials to rhythmic incongruity, and why we all experience a stronger urge to move to grooves with a medium level of syncopation compared with low and high levels of syncopation.

AB - Rhythmic incongruity in the form of syncopation is a prominent feature of many contemporary musical styles. Syncopations afford incongruity between rhythmic patterns and the meter, giving rise to mental models of differently accented isochronous beats. Syncopations occur either in isolation or as part of rhythmic patterns, so-called grooves. On the basis of the predictive coding framework, we discuss how brain processing of rhythm can be seen as a special case of predictive coding. We present a simple, yet powerful model for how the brain processes rhythmic incongruity: the model for predictive coding of rhythmic incongruity. Our model proposes that a given rhythm’s syncopation and its metrical uncertainty (precision) is at the heart of how the brain models rhythm and meter based on priors, predictions, and prediction error. Our minimal model can explain prominent features of brain processing of syncopation: why isolated syncopations lead to stronger prediction error in the brains of musicians, as evidenced by larger event-related potentials to rhythmic incongruity, and why we all experience a stronger urge to move to grooves with a medium level of syncopation compared with low and high levels of syncopation.

KW - Predictive coding

KW - Music

U2 - 10.1111/nyas.13622

DO - 10.1111/nyas.13622

M3 - Journal article

C2 - 29683495

VL - 1423

SP - 19

EP - 29

JO - New York Academy of Sciences. Annals

JF - New York Academy of Sciences. Annals

SN - 0077-8923

IS - 1

ER -