Pressnitzer Daniel, Suied Clara, Shamma Shihab A
Centre National de la Recherche Scientifique and Université Paris Descartes, UMR 8158 Paris, France.
Front Hum Neurosci. 2011 Dec 14;5:158. doi: 10.3389/fnhum.2011.00158. eCollection 2011.
In this review paper aimed at the non-specialist, we explore the use that neuroscientists and musicians have made of perceptual illusions based on ambiguity. The pivotal issue is auditory scene analysis (ASA), or what enables us to make sense of complex acoustic mixtures in order to follow, for instance, a single melody in the midst of an orchestra. In general, ASA uncovers the most likely physical causes that account for the waveform collected at the ears. However, the acoustical problem is ill-posed and it must be solved from noisy sensory input. Recently, the neural mechanisms implicated in the transformation of ambiguous sensory information into coherent auditory scenes have been investigated using so-called bistability illusions (where an unchanging ambiguous stimulus evokes a succession of distinct percepts in the mind of the listener). After reviewing some of those studies, we turn to music, which arguably provides some of the most complex acoustic scenes that a human listener will ever encounter. Interestingly, musicians will not always aim at making each physical source intelligible, but rather express one or more melodic lines with a small or large number of instruments. By means of a few musical illustrations and by using a computational model inspired by neuro-physiological principles, we suggest that this relies on a detailed (if perhaps implicit) knowledge of the rules of ASA and of its inherent ambiguity. We then put forward the opinion that some degree perceptual ambiguity may participate in our appreciation of music.
在这篇面向非专业人士的综述论文中,我们探讨了神经科学家和音乐家对基于模糊性的感知错觉的运用。关键问题在于听觉场景分析(ASA),即是什么使我们能够理解复杂的声学混合,以便例如在管弦乐队的演奏中跟上单一旋律。一般来说,听觉场景分析揭示了最有可能的物理原因,这些原因解释了在耳朵处收集到的波形。然而,声学问题是不适定的,必须从嘈杂的感官输入中解决。最近,人们使用所谓的双稳错觉(即一个不变的模糊刺激在听众脑海中唤起一系列不同的感知)来研究与将模糊的感官信息转化为连贯听觉场景相关的神经机制。在回顾了其中一些研究之后,我们转向音乐,音乐可以说是人类听众会遇到的一些最复杂的声学场景。有趣的是,音乐家并不总是旨在使每个物理声源都清晰可辨,而是用或多或少的乐器来表达一条或多条旋律线。通过一些音乐示例,并使用受神经生理学原理启发的计算模型,我们认为这依赖于对听觉场景分析规则及其固有模糊性的详细(如果可能是隐含的)了解。然后我们提出观点,即某种程度的感知模糊性可能参与我们对音乐的欣赏。