Connecting empirical phenomena and theoretical models of biological coordination across scales Article Swipe
Mengsen Zhang
,
Christopher Beetle
,
J. A. Scott Kelso
,
Emmanuelle Tognoli
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1098/rsif.2019.0360
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1098/rsif.2019.0360
Coordination in living systems—from cells to people—must be understood at multiple levels of description. Analyses and modelling of empirically observed patterns of biological coordination often focus either on ensemble-level statistics in large-scale systems with many components, or on detailed dynamics in small-scale systems with few components. The two approaches have proceeded largely independent of each other. To bridge this gap between levels and scales, we have recently conducted a human experiment of mid-scale social coordination specifically designed to reveal coordination at multiple levels (ensemble, subgroups and dyads) simultaneously. Based on this experiment, the present work shows that, surprisingly, a single system of equations captures key observations at all relevant levels. It also connects empirically validated models of large- and small-scale biological coordination—the Kuramoto and extended Haken–Kelso–Bunz (HKB) models—and the hallmark phenomena that each is known to capture. For example, it exhibits both multistability and metastability observed in small-scale empirical research (via the second-order coupling and symmetry breaking in extended HKB) and the growth of biological complexity as a function of scale (via the scalability of the Kuramoto model). Only by incorporating both of these features simultaneously can we reproduce the essential coordination behaviour observed in our experiment.
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- Language
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- Landing Page
- https://doi.org/10.1098/rsif.2019.0360
- OA Status
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All OpenAlex metadata
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Connecting empirical phenomena and theoretical models of biological coordination across scalesWork title
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articleOpenAlex work type
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2019Year of publication
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2019-08-01Full publication date if available
- Authors
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Mengsen Zhang, Christopher Beetle, J. A. Scott Kelso, Emmanuelle TognoliList of authors in order
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https://doi.org/10.1098/rsif.2019.0360Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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Computer science, Statistical physics, PhysicsTop concepts (fields/topics) attached by OpenAlex
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50Total citation count in OpenAlex
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2025: 6, 2024: 4, 2023: 9, 2022: 10, 2021: 12Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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