ArticlePLoS computational biology2019
A Kuramoto model of self-other integration across interpersonal synchronization strategies.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Self and Its Intersubjective Synchrony in Psychotherapy: A Systematic Review.Clinical psychology & psychotherapyPooled it
- Neural Oscillatory Dynamics in Joint Action: Dissociable Roles of Entrainment and Beta Modulation in Self-Other Integration.Annals of the New York Academy of Sciences · 2026Article
- The Social, Decoupled Self: Interpersonal Synchronization of Breathing Alters Intrapersonal Cardiorespiratory Coupling.Annals of the New York Academy of Sciences · 2026Article
- Effects of delay and amplification of auditory feedback for walking: anticipation, variability, and frequency adaptation.bioRxiv : the preprint server for biology · 2026Article
- Hearing movement, seeing sound: multimodal predictive coding in pianist-dancer interaction.Frontiers in psychology · 2026Review
- Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects.PLoS computational biology · 2025Review
- Collective decision making by embodied neural agents.PNAS nexus · 2025Article
- Interpersonal computational modelling of social synchrony in schizophrenia and beyond.Psychoradiology · 2025Article
- Article
- Motor synchrony, social learning and closeness in group play settings.Frontiers in psychology · 2025Article
- Perceptual coupling in human dyads: Kinematics does not affect interpersonal synchronization.Heliyon · 2024Article
- Marmosets mutually compensate for differences in rhythms when coordinating vigilance.PLoS computational biology · 2024Article
- Evaluations of dyadic synchrony: observers' traits influence estimation and enjoyment of synchrony in mirror-game movements.Scientific reports · 2024Article
- It takes a village: A multi-brain approach to studying multigenerational family communication.Developmental cognitive neuroscience · 2024Article
- Article
- Inter-brain desynchronization in social interaction: a consequence of subjective involvement?Frontiers in human neuroscience · 2024Article
- Embodied perspective-taking enhances interpersonal synchronization: A body-swap study.iScience · 2023Article
- Cortico-cerebellar audio-motor regions coordinate self and other in musical joint action.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Interpersonal attunement in social interactions: fromPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Exploring the dynamics of intentional sensorimotor desynchronization using phasing performance in music.Frontiers in psychology · 2023Article
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Authors and funding
5 authors.
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Abstract
Human social behaviour is complex, and the biological and neural mechanisms underpinning it remain debated. A particularly interesting social phenomenon is our ability and tendency to fall into synchronization with other humans. Our ability to coordinate actions and goals relies on the ability to distinguish between and integrate self and other, which when impaired can lead to devastating consequences. Interpersonal synchronization has been a widely used framework for studying action coordination and self-other integration, showing that even in simple interactions, such as joint finger tapping, complex interpersonal dynamics emerge. Here we propose a computational model of self-other integration via within- and between-person action-perception links, implemented as a simple Kuramoto model with four oscillators. The model abstracts each member of a dyad as a unit consisting of two connected oscillators, representing intrinsic processes of perception and action. By fitting this model to data from two separate experiments we show that interpersonal synchronization strategies rely on the relationship between within- and between-unit coupling. Specifically, mutual adaptation exhibits a higher between-unit coupling than within-unit coupling; leading-following requires that the follower unit has a low within-unit coupling; and leading-leading occurs when two units jointly exhibit a low between-unit coupling. These findings are consistent with the theory of interpersonal synchronization emerging through self-other integration mediated by processes of action-perception coupling. Hence, our results show that chaotic human behaviour occurring on a millisecond scale may be modelled using coupled oscillators.
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