ArticleProceedings of the National Academy of Sciences of the United States of America2014
The human dynamic clamp as a paradigm for social interaction.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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Who cites it
72 citing papers in PubMed.
- Online HD-tRNS Over the Right Temporoparietal Junction Modulates Social Inference But Not Motor Coordination.eNeuro · 2025Trial
- Universal and Cross-Cultural Variations in Audio-Motor Synchronization Between French and Indian Participants.Annals of the New York Academy of Sciences · 2026Article
- Dynamic neural processing of self-other synchronization error in interpersonal coordination.iScience · 2025Article
- Interdependent minds: Quantifying the dynamics of successful social interaction.Current directions in psychological science · 2025Article
- Synchrony Across Brains.Annual review of psychology · 2025Review
- Predicting social experience from dyadic interaction dynamics: the BallGame, a novel paradigm to study social engagement.Scientific reports · 2024Article
- Revealing the mechanism and function underlying pairwise temporal coupling in collective motion.Nature communications · 2024Article
- The Emerging Science of Interacting Minds.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Article
- Restoring Coordination to Systems of Nonidentical Oscillators Through Third Party Pacing.AIP conference proceedings · 2023Article
- Using a haptic dynamic clamp to reduce arousal: preference, arousal, and coordination stability are related.Experimental brain research · 2023Article
- Intertwining the social and the cognitive loops: socially enactive cognition for human-compatible interactive systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Investigating the concept of representation in the neural and psychological sciences.Frontiers in psychology · 2023Article
- Collective dynamics support group drumming, reduce variability, and stabilize tempo drift.eLife · 2022Article
- Movement markers of schizophrenia: a detailed analysis of patients' gait patterns.European archives of psychiatry and clinical neuroscience · 2022Article
- Multilevel development of cognitive abilities in an artificial neural network.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Integration and Causality in Enactive Approaches to Psychiatry.Frontiers in psychiatry · 2022Article
- Modality-specific attractor dynamics in dyadic entrainment.Scientific reports · 2021Article
- Two dimensionless parameters and a mechanical analogue for the HKB model of motor coordination.Biological cybernetics · 2021Article
- The Haken-Kelso-Bunz (HKB) model: from matter to movement to mind.Biological cybernetics · 2021Article
- The effect of inherent and incidental constraints on bimanual and social coordination.Experimental brain research · 2021Article
12 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Social neuroscience has called for new experimental paradigms aimed toward real-time interactions. A distinctive feature of interactions is mutual information exchange: One member of a pair changes in response to the other while simultaneously producing actions that alter the other. Combining mathematical and neurophysiological methods, we introduce a paradigm called the human dynamic clamp (HDC), to directly manipulate the interaction or coupling between a human and a surrogate constructed to behave like a human. Inspired by the dynamic clamp used so productively in cellular neuroscience, the HDC allows a person to interact in real time with a virtual partner itself driven by well-established models of coordination dynamics. People coordinate hand movements with the visually observed movements of a virtual hand, the parameters of which depend on input from the subject's own movements. We demonstrate that HDC can be extended to cover a broad repertoire of human behavior, including rhythmic and discrete movements, adaptation to changes of pacing, and behavioral skill learning as specified by a virtual "teacher." We propose HDC as a general paradigm, best implemented when empirically verified theoretical or mathematical models have been developed in a particular scientific field. The HDC paradigm is powerful because it provides an opportunity to explore parameter ranges and perturbations that are not easily accessible in ordinary human interactions. The HDC not only enables to test the veracity of theoretical models, it also illuminates features that are not always apparent in real-time human social interactions and the brain correlates thereof.
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