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A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization

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A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization. / Heggli, Ole Adrian; Konvalinka, Ivana; Kringelbach, Morten L.; Vuust, Peter.

In: Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 376, No. 1835, 20200332, 11.10.2021.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Heggli, OA, Konvalinka, I, Kringelbach, ML & Vuust, P 2021, 'A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization', Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 376, no. 1835, 20200332. https://doi.org/10.1098/rstb.2020.0332

APA

Heggli, O. A., Konvalinka, I., Kringelbach, M. L., & Vuust, P. (2021). A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization. Philosophical Transactions of the Royal Society B: Biological Sciences, 376(1835), [20200332]. https://doi.org/10.1098/rstb.2020.0332

CBE

Heggli OA, Konvalinka I, Kringelbach ML, Vuust P. 2021. A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization. Philosophical Transactions of the Royal Society B: Biological Sciences. 376(1835):Article 20200332. https://doi.org/10.1098/rstb.2020.0332

MLA

Vancouver

Heggli OA, Konvalinka I, Kringelbach ML, Vuust P. A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization. Philosophical Transactions of the Royal Society B: Biological Sciences. 2021 Oct 11;376(1835). 20200332. https://doi.org/10.1098/rstb.2020.0332

Author

Heggli, Ole Adrian ; Konvalinka, Ivana ; Kringelbach, Morten L. ; Vuust, Peter. / A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization. In: Philosophical Transactions of the Royal Society B: Biological Sciences. 2021 ; Vol. 376, No. 1835.

Bibtex

@article{cd3b6ba825e64584aedeabc4cef8a251,
title = "A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization",
abstract = "Human interaction is often accompanied by synchronized bodily rhythms. Such synchronization may emerge spontaneously as when a crowd's applause turns into a steady beat, be encouraged as in nursery rhymes, or be intentional as in the case of playing music together. The latter has been extensively studied using joint finger-tapping paradigms as a simplified version of rhythmic interpersonal synchronization. A key finding is that synchronization in such cases is multifaceted, with synchronized behaviour resting upon different synchronization strategies such as mutual adaptation, leading-following and leading-leading. However, there are multiple open questions regarding the mechanism behind these strategies and how they develop dynamically over time. Here, we propose a metastable attractor model of self-other integration (MEAMSO). This model conceptualizes dyadic rhythmic interpersonal synchronization as a process of integrating and segregating signals of self and other. Perceived sounds are continuously evaluated as either being attributed to self-produced or other-produced actions. The model entails a metastable system with two particular attractor states: one where an individual maintains two separate predictive models for self- and other-produced actions, and the other where these two predictive models integrate into one. The MEAMSO explains the three known synchronization strategies and makes testable predictions about the dynamics of interpersonal synchronization both in behaviour and the brain. This article is part of the theme issue 'Synchrony and rhythm interaction: from the brain to behavioural ecology'.",
keywords = "interpersonal synchronization, joint action, music, rhythm, self–other integration, synchronization",
author = "Heggli, {Ole Adrian} and Ivana Konvalinka and Kringelbach, {Morten L.} and Peter Vuust",
year = "2021",
month = oct,
day = "11",
doi = "10.1098/rstb.2020.0332",
language = "English",
volume = "376",
journal = "Philosophical Transactions of the Royal Society B: Biological Sciences",
issn = "0962-8436",
publisher = "ROYAL SOC",
number = "1835",

}

RIS

TY - JOUR

T1 - A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization

AU - Heggli, Ole Adrian

AU - Konvalinka, Ivana

AU - Kringelbach, Morten L.

AU - Vuust, Peter

PY - 2021/10/11

Y1 - 2021/10/11

N2 - Human interaction is often accompanied by synchronized bodily rhythms. Such synchronization may emerge spontaneously as when a crowd's applause turns into a steady beat, be encouraged as in nursery rhymes, or be intentional as in the case of playing music together. The latter has been extensively studied using joint finger-tapping paradigms as a simplified version of rhythmic interpersonal synchronization. A key finding is that synchronization in such cases is multifaceted, with synchronized behaviour resting upon different synchronization strategies such as mutual adaptation, leading-following and leading-leading. However, there are multiple open questions regarding the mechanism behind these strategies and how they develop dynamically over time. Here, we propose a metastable attractor model of self-other integration (MEAMSO). This model conceptualizes dyadic rhythmic interpersonal synchronization as a process of integrating and segregating signals of self and other. Perceived sounds are continuously evaluated as either being attributed to self-produced or other-produced actions. The model entails a metastable system with two particular attractor states: one where an individual maintains two separate predictive models for self- and other-produced actions, and the other where these two predictive models integrate into one. The MEAMSO explains the three known synchronization strategies and makes testable predictions about the dynamics of interpersonal synchronization both in behaviour and the brain. This article is part of the theme issue 'Synchrony and rhythm interaction: from the brain to behavioural ecology'.

AB - Human interaction is often accompanied by synchronized bodily rhythms. Such synchronization may emerge spontaneously as when a crowd's applause turns into a steady beat, be encouraged as in nursery rhymes, or be intentional as in the case of playing music together. The latter has been extensively studied using joint finger-tapping paradigms as a simplified version of rhythmic interpersonal synchronization. A key finding is that synchronization in such cases is multifaceted, with synchronized behaviour resting upon different synchronization strategies such as mutual adaptation, leading-following and leading-leading. However, there are multiple open questions regarding the mechanism behind these strategies and how they develop dynamically over time. Here, we propose a metastable attractor model of self-other integration (MEAMSO). This model conceptualizes dyadic rhythmic interpersonal synchronization as a process of integrating and segregating signals of self and other. Perceived sounds are continuously evaluated as either being attributed to self-produced or other-produced actions. The model entails a metastable system with two particular attractor states: one where an individual maintains two separate predictive models for self- and other-produced actions, and the other where these two predictive models integrate into one. The MEAMSO explains the three known synchronization strategies and makes testable predictions about the dynamics of interpersonal synchronization both in behaviour and the brain. This article is part of the theme issue 'Synchrony and rhythm interaction: from the brain to behavioural ecology'.

KW - interpersonal synchronization

KW - joint action

KW - music

KW - rhythm

KW - self–other integration

KW - synchronization

U2 - 10.1098/rstb.2020.0332

DO - 10.1098/rstb.2020.0332

M3 - Journal article

C2 - 34420393

VL - 376

JO - Philosophical Transactions of the Royal Society B: Biological Sciences

JF - Philosophical Transactions of the Royal Society B: Biological Sciences

SN - 0962-8436

IS - 1835

M1 - 20200332

ER -