Literature DB >> 36174063

Modeling enculturated bias in entrainment to rhythmic patterns.

Thomas Kaplan1, Jonathan Cannon2, Lorenzo Jamone1,3, Marcus Pearce1,4.   

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.

Entities:  

Mesh:

Year:  2022        PMID: 36174063      PMCID: PMC9553061          DOI: 10.1371/journal.pcbi.1010579

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.779


  52 in total

1.  Perception of rhythmic grouping depends on auditory experience.

Authors:  John R Iversen; Aniruddh D Patel; Kengo Ohgushi
Journal:  J Acoust Soc Am       Date:  2008-10       Impact factor: 1.840

2.  Multifrequency Hebbian plasticity in coupled neural oscillators.

Authors:  Ji Chul Kim; Edward W Large
Journal:  Biol Cybern       Date:  2021-01-05       Impact factor: 2.086

Review 3.  Predictive Processes and the Peculiar Case of Music.

Authors:  Stefan Koelsch; Peter Vuust; Karl Friston
Journal:  Trends Cogn Sci       Date:  2018-11-21       Impact factor: 20.229

4.  Shared neural resources of rhythm and syntax: An ALE meta-analysis.

Authors:  Matthew Heard; Yune S Lee
Journal:  Neuropsychologia       Date:  2019-11-26       Impact factor: 3.139

Review 5.  Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics.

Authors:  Loïc Damm; Déborah Varoqui; Valérie Cochen De Cock; Simone Dalla Bella; Benoît Bardy
Journal:  Neurosci Biobehav Rev       Date:  2019-12-14       Impact factor: 8.989

Review 6.  Neural Entrainment and Attentional Selection in the Listening Brain.

Authors:  Jonas Obleser; Christoph Kayser
Journal:  Trends Cogn Sci       Date:  2019-10-09       Impact factor: 20.229

7.  Now you hear it: a predictive coding model for understanding rhythmic incongruity.

Authors:  Peter Vuust; Martin J Dietz; Maria Witek; Morten L Kringelbach
Journal:  Ann N Y Acad Sci       Date:  2018-04-23       Impact factor: 5.691

8.  A prototype-based resonance model of rhythm categorization.

Authors:  Rasmus Bååth; Erik Lagerstedt; Peter Gärdenfors
Journal:  Iperception       Date:  2014-11-04

9.  Neural and Behavioral Evidence for Frequency-Selective Context Effects in Rhythm Processing in Humans.

Authors:  Tomas Lenc; Peter E Keller; Manuel Varlet; Sylvie Nozaradan
Journal:  Cereb Cortex Commun       Date:  2020-07-28
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