Temporal hierarchies in the predictive processing of melody − From pure tones to songs

Basiński, Krzysztof; Quiroga-Martinez, David Ricardo; Vuust, Peter

doi:10.1016/j.neubiorev.2022.105007

Cited by 1 publication

(1 citation statement)

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“…Predictive inferences refer to the process whereby the brain actively predicts incoming sensations and their causes based on a model of the likelihood of environmental events. When listening to music, the listener develops an expectation of the upcoming musical sequences based on a learnt internal model of the probabilistic fluctuations in the melodic, rhythmic and harmonic structure of the music (for a review of predictive processing of melody, see Basiński et al, 2023). This understanding of the dynamic formation of expectations (along with their realization or denial) during music listening builds upon seminal works such as Meyer (1956), Narmour (1992), andHuron (2006) among others.…”

Section: How Does the Brain Create An Internal Model?mentioning

confidence: 99%

Understanding Music and Aging through the lens of Bayesian Inference

Heng,

Jiayi,

Bonneti

et al. 2024

Preprint

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Bayesian inference has recently gained momentum in explaining music perception and aging. A fundamental mechanism underlying Bayesian inference is the notion of prediction. This framework could explain how predictions pertaining to musical (melodic, rhythmic, harmonic) structures engender action, emotion, and learning, expanding related concepts of music research, such as musical expectancies, groove, pleasure, and tension. Moreover, a Bayesian perspective of music perception may shed new insights on the beneficial effects of music in aging. Aging could be framed as an optimization process of Bayesian inference. As predictive inferences refine over time, the reliance on consolidated priors increases, while the updating of prior models through Bayesian inference attenuates. This may affect the ability of older adults to estimate uncertainties in their environment, limiting their cognitive and behavioral repertoire. With Bayesian inference as an overarching framework, this review synthesizes the literature on predictive inferences in music and aging, and details how music could be a promising tool in preventive and rehabilitative interventions for older adults through the lens of Bayesian inference.

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Section: How Does the Brain Create An Internal Model?mentioning

confidence: 99%