Interaural Correlation Fails to Account for Detection in a Classic Binaural Task: Dynamic ITDs Dominate N0Sπ Detection

Interaural Correlation Fails to Account for Detection in a Classic Binaural Task: Dynamic ITDs Dominate N0Sπ Detection
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耳间相关性无法解释经典双耳任务中的检测:动态 ITD 主导 N0Sπ 检测

DOI:
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发表时间:
2009
期刊:
Journal of the Association for Research in Otolaryngology
影响因子:
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通讯作者:
P. Joris
P. Joris
中科院分区:
--
文献类型:
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作者:
M. van der Heijden;P. Joris

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在nosp - 2任务中,双耳信号检测依赖于通过在双相噪声中加入反相位信号而引入的耳间差异。用什么指标来衡量内部差异最能预测表现?一些模型使用耳间相关性;另一些则区分了有效刺激的动态耳间时间差异(ITDs)和耳间水平差异(ILDs)。为了研究过渡段和非过渡段在双耳检测中的相对贡献,我们开发了一种新的信号处理技术,可以选择性地降低双耳刺激的不同方面(潜在线索)(例如,只有过渡段被干扰)。只有当一个特定的线索与检测下的双耳处理相关时,才会影响性能。这种选择性置乱技术被应用于一个经典的n0sp任务的刺激,在这个任务中,听者必须在一个双宽带噪声掩膜的存在下检测一个反相位的500赫兹信号。从5个听筒中获得的数据表明:(1)选择性置乱对双耳检测影响不大,(2)选择性置乱明显降低检测效果,(3)ILDs和过渡段联合置乱与过渡段单独置乱的效果相同。关于刺激属性决定检测的问题,我们得出结论,对于这个双耳任务(1)动态过渡段主导检测性能,(2)ild在很大程度上是不相关的,(3)刺激的耳间相关性是一个很差的检测预测因子。本文描述了两个简单的基于刺激的模型,每个模型都能很好地再现数据的所有双耳方面:(1)使用过渡段方差作为检测标准的单参数检测模型;(2)压缩变换后进行相互关联分析。这两种对比模型的成功表明,我们的数据本身并不能揭示过渡段线索占主导地位的机制。我们的研究结果的生理意义进行了讨论。
Binaural signal detection in an NoSπ task relies on interaural disparities introduced by adding an antiphasic signal to diotic noise. What metric of interaural disparity best predicts performance? Some models use interaural correlation; others differentiate between dynamic interaural time differences (ITDs) and interaural level differences (ILDs) of the effective stimulus. To examine the relative contributions of ITDs and ILDs in binaural detection, we developed a novel signal processing technique that selectively degrades different aspects (potential cues) of binaural stimuli (e.g., only ITDs are scrambled). Degrading a particular cue will affect performance only if that cue is relevant to the binaural processing underlying detection. This selective scrambling technique was applied to the stimuli of a classic N0Sπ task in which the listener had to detect an antiphasic 500-Hz signal in the presence of a diotic wideband noise masker. Data obtained from five listeners showed that (1) selective scrambling of ILDs had little effect on binaural detection, (2) selective scrambling of ITDs significantly degraded detection, and (3) combined scrambling of ILDs and ITDs had the same effect as exclusive scrambling of ITDs. Regarding the question which stimulus properties determine detection, we conclude that for this binaural task (1) dynamic ITDs dominate detection performance, (2) ILDs are largely irrelevant, and (3) interaural correlation of the stimulus is a poor predictor of detection. Two simple stimulus-based models that each reproduce all binaural aspects of the data quite well are described: (1) a single-parameter detection model using ITD variance as detection criterion and (2) a compressive transformation followed by a crosscorrelation analysis. The success of both of these contrasting models shows that our data alone cannot reveal the mechanisms underlying the dominance of ITD cues. The physiological implications of our findings are discussed.
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