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人类对高频复音的辨别和建模为音高的神经编码提供了线索。

Human discrimination and modeling of high-frequency complex tones shed light on the neural codes for pitch.

机构信息

Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America.

出版信息

PLoS Comput Biol. 2022 Mar 3;18(3):e1009889. doi: 10.1371/journal.pcbi.1009889. eCollection 2022 Mar.

Abstract

Accurate pitch perception of harmonic complex tones is widely believed to rely on temporal fine structure information conveyed by the precise phase-locked responses of auditory-nerve fibers. However, accurate pitch perception remains possible even when spectrally resolved harmonics are presented at frequencies beyond the putative limits of neural phase locking, and it is unclear whether residual temporal information, or a coarser rate-place code, underlies this ability. We addressed this question by measuring human pitch discrimination at low and high frequencies for harmonic complex tones, presented either in isolation or in the presence of concurrent complex-tone maskers. We found that concurrent complex-tone maskers impaired performance at both low and high frequencies, although the impairment introduced by adding maskers at high frequencies relative to low frequencies differed between the tested masker types. We then combined simulated auditory-nerve responses to our stimuli with ideal-observer analysis to quantify the extent to which performance was limited by peripheral factors. We found that the worsening of both frequency discrimination and F0 discrimination at high frequencies could be well accounted for (in relative terms) by optimal decoding of all available information at the level of the auditory nerve. A Python package is provided to reproduce these results, and to simulate responses to acoustic stimuli from the three previously published models of the human auditory nerve used in our analyses.

摘要

准确的复音和谐波音高感知被广泛认为依赖于听觉神经纤维的精确相位锁定反应所传递的时间精细结构信息。然而,即使在假定的神经相位锁定极限之外的频率呈现频谱解析的谐波,准确的音高感知仍然是可能的,并且不清楚这种能力是基于剩余的时间信息还是更粗糙的速率-位置编码。我们通过测量人类对谐波复合音的低频和高频音高辨别能力来解决这个问题,这些复合音要么单独呈现,要么在同时呈现的复合音掩蔽下呈现。我们发现,即使在低和高频同时呈现复杂音掩蔽的情况下,复杂音掩蔽也会损害表现,尽管在添加高频掩蔽相对于低频掩蔽时,掩蔽引入的损害在不同的测试掩蔽类型之间有所不同。然后,我们将模拟的听觉神经反应与理想观察者分析结合起来,以量化性能受外围因素限制的程度。我们发现,在高频时,频率辨别和 F0 辨别都变差(相对而言),可以很好地用听觉神经水平上所有可用信息的最佳解码来解释。提供了一个 Python 包来重现这些结果,并模拟我们分析中使用的三种先前发表的人类听觉神经模型的声刺激反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd7/8923464/856e63da2de0/pcbi.1009889.g001.jpg

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