ArticleJournal of the Royal Society, Interface2019
Connecting empirical phenomena and theoretical models of biological coordination across scales.
Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Collective decision making by embodied neural agents.PNAS nexus · 2025Article
- Evidence-based facilitator strategies for enhancing social engagement in groups of older adults with ADRD.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Metastability demystified - the foundational past, the pragmatic present and the promising future.Nature reviews. Neuroscience · 2025Review
- Two methodologies for brain signal analysis derived from Freeman Neurodynamics.Frontiers in systems neuroscience · 2025Article
- A topological data analysis method for revealing dynamic changes in psychotherapy microprocesses.Frontiers in psychology · 2025Article
- Restoring Coordination to Systems of Nonidentical Oscillators Through Third Party Pacing.AIP conference proceedings · 2023Article
- multiSyncPy: A Python package for assessing multivariate coordination dynamics.Behavior research methods · 2023Article
- Article
- Collective dynamics support group drumming, reduce variability, and stabilize tempo drift.eLife · 2022Article
- Cross-attractor repertoire provides new perspective on structure-function relationship in the brain.NeuroImage · 2022Article
- Involvement of global coordinative structure in achieving the local pendulum swinging task.PloS one · 2022Article
- A metastable attractor model of self-other integration (MEAMSO) in rhythmic synchronization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- The Haken-Kelso-Bunz (HKB) model: from matter to movement to mind.Biological cybernetics · 2021Article
- An Active Inference Model of Collective Intelligence.Entropy (Basel, Switzerland) · 2021Article
- Unifying Large- and Small-Scale Theories of Coordination.Entropy (Basel, Switzerland) · 2021Article
- Windowed multiscale synchrony: modeling time-varying and scale-localized interpersonal coordination dynamics.Social cognitive and affective neuroscience · 2021Article
- Third party stabilization of unstable coordination in systems of coupled oscillators.Journal of physics. Conference series · 2021Article
- Exploring the "Dark Matter" of Social Interaction: Systematic Review of a Decade of Research in Spontaneous Interpersonal Coordination.Frontiers in psychology · 2021Review
- Moving in unison after perceptual interruption.Scientific reports · 2020Article
- Finding the neural correlates of collaboration using a three-person fMRI hyperscanning paradigm.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
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.