Department of Psychology, Tufts University Medford, MA, USA.
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego La Jolla, CA, USA.
Front Syst Neurosci. 2014 May 13;8:57. doi: 10.3389/fnsys.2014.00057. eCollection 2014.
a perceived periodic pulse that structures the perception of musical rhythm and which serves as a framework for synchronized movement to music. What are the neural mechanisms of musical beat perception, and how did they evolve? One view, which dates back to Darwin and implicitly informs some current models of beat perception, is that the relevant neural mechanisms are relatively general and are widespread among animal species. On the basis of recent neural and cross-species data on musical beat processing, this paper argues for a different view. Here we argue that beat perception is a complex brain function involving temporally-precise communication between auditory regions and motor planning regions of the cortex (even in the absence of overt movement). More specifically, we propose that simulation of periodic movement in motor planning regions provides a neural signal that helps the auditory system predict the timing of upcoming beats. This "action simulation for auditory prediction" (ASAP) hypothesis leads to testable predictions. We further suggest that ASAP relies on dorsal auditory pathway connections between auditory regions and motor planning regions via the parietal cortex, and suggest that these connections may be stronger in humans than in non-human primates due to the evolution of vocal learning in our lineage. This suggestion motivates cross-species research to determine which species are capable of human-like beat perception, i.e., beat perception that involves accurate temporal prediction of beat times across a fairly broad range of tempi.
一种感知到的周期性脉冲,它构建了音乐节奏的感知,并为音乐同步运动提供了框架。音乐节拍感知的神经机制是什么,它们是如何进化的?一种观点可以追溯到达尔文,并在某种程度上隐含在当前一些节拍感知模型中,即相关的神经机制相对普遍,在动物物种中广泛存在。基于最近关于音乐节拍处理的神经和跨物种数据,本文提出了一种不同的观点。在这里,我们认为节拍感知是一种复杂的大脑功能,涉及听觉区域和大脑皮层运动规划区域之间的时间精确通信(即使没有明显的运动)。更具体地说,我们提出运动规划区域中周期性运动的模拟为听觉系统提供了一个有助于预测即将到来的节拍时间的神经信号。这个“听觉预测的动作模拟”(ASAP)假说导致了可测试的预测。我们进一步提出,ASAP 依赖于通过顶叶皮层在听觉区域和运动规划区域之间的背侧听觉通路连接,并提出由于我们谱系中的发声学习,这些连接在人类中可能比非人类灵长类动物更强。这一建议促使开展跨物种研究,以确定哪些物种能够进行类似于人类的节拍感知,即能够在相当广泛的节奏范围内准确预测节拍时间的节拍感知。