Probabilistic modelling of microtiming perception Article Swipe
Thomas Kaplan
,
Lorenzo Jamone
,
Marcus T. Pearce
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.cognition.2023.105532
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.cognition.2023.105532
Music performances are rich in systematic temporal irregularities called "microtiming", too fine-grained to be notated in a musical score but important for musical expression and communication. Several studies have examined listeners' preference for rhythms varying in microtiming, but few have addressed precisely how microtiming is perceived, especially in terms of cognitive mechanisms, making the empirical evidence difficult to interpret. Here we provide evidence that microtiming perception can be simulated as a process of probabilistic prediction. Participants performed an XAB discrimination test, in which an archetypal popular drum rhythm was presented with different microtiming. The results indicate that listeners could implicitly discriminate the mean and variance of stimulus microtiming. Furthermore, their responses were effectively simulated by a Bayesian model of entrainment, using a distance function derived from its dynamic posterior estimate over phase. Wide individual differences in participant sensitivity to microtiming were predicted by a model parameter likened to noisy timekeeping processes in the brain. Overall, this suggests that the cognitive mechanisms underlying perception of microtiming reflect a continuous inferential process, potentially driving qualitative judgements of rhythmic feel.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.cognition.2023.105532
- OA Status
- hybrid
- Cited By
- 13
- References
- 80
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://doi.org/10.1016/j.cognition.2023.105532Digital Object Identifier
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Probabilistic modelling of microtiming perceptionWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-07-11Full publication date if available
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Thomas Kaplan, Lorenzo Jamone, Marcus T. PearceList of authors in order
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https://doi.org/10.1016/j.cognition.2023.105532Publisher landing page
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.cognition.2023.105532Direct OA link when available
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Psychology, Probabilistic logic, Perception, Cognitive psychology, Cognitive science, Artificial intelligence, Computer science, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 13Per-year citation counts (last 5 years)
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80Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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