School of Computer Science and Engineering, Nanyang Technological University, Singapore.
Interdisciplinary Graduate Program, Nanyang Technological University, Singapore; School of Social Sciences, Nanyang Technological University, Singapore; Centre for Research and Development in Learning, Nanyang Technological University, Singapore.
Neurosci Biobehav Rev. 2024 Aug;163:105768. doi: 10.1016/j.neubiorev.2024.105768. Epub 2024 Jun 20.
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.
贝叶斯推理最近在解释音乐感知和衰老方面引起了关注。贝叶斯推理的一个基本机制是预测的概念。这个框架可以解释与音乐（旋律、节奏、和声）结构相关的预测如何产生行动、情感和学习，扩展了音乐研究的相关概念，如音乐期望、groove、愉悦和紧张。此外，音乐感知的贝叶斯视角可能为音乐在衰老中的有益影响提供新的见解。衰老可以被构造成贝叶斯推理的优化过程。随着预测推断随时间的推移而变得更加精确，对已建立的先验知识的依赖增加，而通过贝叶斯推理更新先验模型则会减弱。这可能会影响老年人估计其环境不确定性的能力，限制他们的认知和行为范围。贝叶斯推理作为一个总体框架，本文综述了音乐和衰老中的预测推理文献，并详细说明了如何通过贝叶斯推理的视角，将音乐作为老年人预防和康复干预的有前途的工具。
