Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation

Annals of the New York Academy of Sciences
Marcus T Pearce

Abstract

Music perception depends on internal psychological models derived through exposure to a musical culture. It is hypothesized that this musical enculturation depends on two cognitive processes: (1) statistical learning, in which listeners acquire internal cognitive models of statistical regularities present in the music to which they are exposed; and (2) probabilistic prediction based on these learned models that enables listeners to organize and process their mental representations of music. To corroborate these hypotheses, I review research that uses a computational model of probabilistic prediction based on statistical learning (the information dynamics of music (IDyOM) model) to simulate data from empirical studies of human listeners. The results show that a broad range of psychological processes involved in music perception-expectation, emotion, memory, similarity, segmentation, and meter-can be understood in terms of a single, underlying process of probabilistic prediction using learned statistical models. Furthermore, IDyOM simulations of listeners from different musical cultures demonstrate that statistical learning can plausibly predict causal effects of differential cultural exposure to musical styles, providing a quant...Continue Reading

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Citations

Jan 1, 2020·The European Journal of Neuroscience·David R Quiroga-MartinezPeter Vuust
May 19, 2020·ELife·Roberta BiancoMaria Chait
May 23, 2019·Frontiers in Psychology·Geraint A Wiggins, Abdelrahman Sanjekdar
Mar 4, 2020·ELife·Giovanni M Di LibertoNima Mesgarani
Jan 24, 2019·Frontiers in Neuroscience·Iris MenckeElvira Brattico
Nov 5, 2020·PLoS Computational Biology·Peter M C HarrisonMarcus T Pearce
Dec 4, 2020·Journal of Experimental Child Psychology·Nina PolitimouFabia Franco
Mar 29, 2021·Neuroscience·Sarah A SauvéBenjamin Rich Zendel
Aug 24, 2021·Brain Communications·Elia BenhamouJason D Warren

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Software Mentioned

Melisma
IDyOM

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