Rhythmic complexity and predictive coding: a novel approach to modeling rhythm and meter perception in music.
Rhythmic complexity and predictive coding: a novel approach to modeling rhythm and meter perception in music.
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DOI：
10.3389/fpsyg.2014.01111
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发表时间：
2014
影响因子：
3.8
通讯作者：
Witek MA
中科院分区：
文献类型：
--
作者：
Vuust P;Witek MA
音乐节奏由明显抽象的重音时间事件间隔组成，具有调动我们思想和身体的非凡能力。认知系统如何让我们体验节奏复杂的音乐？在本文中，我们描述了音乐中节奏复杂性的一些常见形式，并提出了预测编码（PC）理论作为理解节奏和节奏复杂性在大脑中如何处理的框架。我们还思考为什么我们对音乐中的节奏张力如此着迷。首先，我们考虑节奏和韵律感知理论，它们为建模提供了分层和计算方法。其次，我们提出了 PC 理论，该理论假设大脑反应的分层组织反映了与预测未来事件相关的基本的、与生存相关的机制。根据这一理论，感知和学习是通过大脑对大脑输入与大脑先前期望之间的误差进行贝叶斯最小化来体现的。第三，我们开发了音乐节奏的 PC 模型，其中节奏感知被概念化为所听到的内容（“节奏”）与大脑对音乐的预期结构（“节奏”）之间的相互作用。最后，我们回顾了切分音、多节奏和律动对神经和行为影响的实证研究，并提出如何将这些研究视为 PC 理论的特例。我们认为音乐节奏利用了大脑的一般预测原理，并提出音乐节奏对感觉运动同步的愉悦和渴望可能是这种机制的结果。
Musical rhythm, consisting of apparently abstract intervals of accented temporal events, has a remarkable capacity to move our minds and bodies. How does the cognitive system enable our experiences of rhythmically complex music? In this paper, we describe some common forms of rhythmic complexity in music and propose the theory of predictive coding (PC) as a framework for understanding how rhythm and rhythmic complexity are processed in the brain. We also consider why we feel so compelled by rhythmic tension in music. First, we consider theories of rhythm and meter perception, which provide hierarchical and computational approaches to modeling. Second, we present the theory of PC, which posits a hierarchical organization of brain responses reflecting fundamental, survival-related mechanisms associated with predicting future events. According to this theory, perception and learning is manifested through the brain’s Bayesian minimization of the error between the input to the brain and the brain’s prior expectations. Third, we develop a PC model of musical rhythm, in which rhythm perception is conceptualized as an interaction between what is heard (“rhythm”) and the brain’s anticipatory structuring of music (“meter”). Finally, we review empirical studies of the neural and behavioral effects of syncopation, polyrhythm and groove, and propose how these studies can be seen as special cases of the PC theory. We argue that musical rhythm exploits the brain’s general principles of prediction and propose that pleasure and desire for sensorimotor synchronization from musical rhythm may be a result of such mechanisms.
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影响因子：
16.2
作者：
Bastos AM;Usrey WM;Adams RA;Mangun GR;Fries P;Friston KJ
通讯作者：
Friston KJ
影响因子：
3.7
作者：
Chen, Joyce L.;Penhune, Virginia B.;Zatorre, Robert J.
通讯作者：
Zatorre, Robert J.
DOI：
10.1111/j.1749-6632.2001.tb05738.x
发表时间：
2001-01-01
期刊：
BIOLOGICAL FOUNDATIONS OF MUSIC
影响因子：
--
作者：
Altenm端ller, EO
通讯作者：
Altenm端ller, EO
影响因子：
4.1
作者：
Demos, Alexander P.;Chaffin, Roger;Marsh, Kerry L.
通讯作者：
Marsh, Kerry L.
DOI：
10.1098/rspb.2014.0751
发表时间：
2014-07-07
期刊：
Proceedings. Biological sciences
影响因子：
--
作者：
Elliott MT;Wing AM;Welchman AE
通讯作者：
Welchman AE