ArticlePLoS computational biology2022
Modeling enculturated bias in entrainment to rhythmic patterns.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 39 citations in OpenAlex.
- Critical Review on the Development and Evolution of Beat Perception.Annals of the New York Academy of Sciences · 2026Review
- Universal and Cross-Cultural Variations in Audio-Motor Synchronization Between French and Indian Participants.Annals of the New York Academy of Sciences · 2026Article
- 4/4 and more, rhythmic complexity more strongly predicts groove in common meters.Communications psychology · 2025Article
- Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects.PLoS computational biology · 2025Review
- Revealing rhythm categorization in human brain activity.Science advances · 2025Article
- Article
- Physiological Entrainment: A Key Mind-Body Mechanism for Cognitive, Motor and Affective Functioning, and Well-Being.Brain sciences · 2024Review
- Dorsal Anterior Cingulate Cortex Coordinates Contextual Mental Imagery for Single-Beat Manipulation during Rhythmic Sensorimotor Synchronization.Brain sciences · 2024Article
- Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries.Nature human behaviour · 2024Article
- Probing Beat Perception with Event-Related Potentials (ERPs) in Human Adults, Newborns, and Nonhuman Primates.Advances in experimental medicine and biology · 2024Review
- A predictive coding approach to modelling the perceived complexity of popular music drum patterns.Heliyon · 2023Article
- Dynamic models for musical rhythm perception and coordination.Frontiers in computational neuroscience · 2023Review
- The Pleasurable Urge to Move to Music Through the Lens of Learning Progress.Journal of cognition · 2023Article
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4 authors at 2 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Long-term and culture-specific experience of music shapes rhythm perception, leading to enculturated expectations that make certain rhythms easier to track and more conducive to synchronized movement. However, the influence of enculturated bias on the moment-to-moment dynamics of rhythm tracking is not well understood. Recent modeling work has formulated entrainment to rhythms as a formal inference problem, where phase is continuously estimated based on precise event times and their correspondence to timing expectations: PIPPET (Phase Inference from Point Process Event Timing). Here we propose that the problem of optimally tracking a rhythm also requires an ongoing process of inferring which pattern of event timing expectations is most suitable to predict a stimulus rhythm. We formalize this insight as an extension of PIPPET called pPIPPET (PIPPET with pattern inference). The variational solution to this problem introduces terms representing the likelihood that a stimulus is based on a particular member of a set of event timing patterns, which we initialize according to culturally-learned prior expectations of a listener. We evaluate pPIPPET in three experiments. First, we demonstrate that pPIPPET can qualitatively reproduce enculturated bias observed in human tapping data for simple two-interval rhythms. Second, we simulate categorization of a continuous three-interval rhythm space by Western-trained musicians through derivation of a comprehensive set of priors for pPIPPET from metrical patterns in a sample of Western rhythms. Third, we simulate iterated reproduction of three-interval rhythms, and show that models configured with notated rhythms from different cultures exhibit both universal and enculturated biases as observed experimentally in listeners from those cultures. These results suggest the influence of enculturated timing expectations on human perceptual and motor entrainment can be understood as approximating optimal inference about the rhythmic stimulus, with respect to prototypical patterns in an empirical sample of rhythms that represent the music-cultural environment of the listener.
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