Davidson Sean A, Gilkey Robert H, Colburn H Steven, Carney Laurel H
Department of Biomedical and Chemical Engineering, Institute for Sensory Research, 621 Skytop Road, Syracuse University, Syracuse, New York 13244, USA.
J Acoust Soc Am. 2006 Apr;119(4):2258-75. doi: 10.1121/1.2177583.
A single-interval, yes-no, tone-in-noise detection experiment was conducted to measure the proportion of "tone present" responses to each of 25 reproducible noise-alone and tone-plus-noise waveforms under narrowband (100 Hz), wideband (2900 Hz), monotic, and diotic stimulus conditions. Proportions of "tone present" responses (estimates of the probabilities of hits and false alarms) were correlated across masker bandwidths and across monotic and diotic conditions. Two categories of models were considered; one based on stimulus energy or neural counts, and another based on temporal structure of the stimulus envelope or neural patterns. Both categories gave significant correlation between decision variables and data. A model based on a weighted combination of energy in multiple critical bands performed best, predicting up to 90% of the variance in the reproducible-noise data. However, since energy-based models are unable to successfully explain detection under a roving-level paradigm without substantial modification, it is argued that other variations of detection models must be considered for future study. Temporal models are resistant to changes in threshold under roving-level conditions, but explained at most only 67% of the variance in the reproducible-noise data.
进行了一项单间隔、是/否、噪声中纯音检测实验，以测量在窄带（100赫兹）、宽带（2900赫兹）、单耳和双耳刺激条件下，对25种可重复的单独噪声和纯音加噪声波形中每一种波形，做出“有纯音”反应的比例。“有纯音”反应的比例（命中概率和误报概率的估计值）在掩蔽带宽之间以及单耳和双耳条件之间进行了相关性分析。考虑了两类模型：一类基于刺激能量或神经放电次数，另一类基于刺激包络的时间结构或神经模式。这两类模型在决策变量和数据之间都给出了显著的相关性。一个基于多个临界带能量加权组合的模型表现最佳，能够预测可重复噪声数据中高达90%的方差。然而，由于基于能量的模型在未经实质性修改的情况下无法成功解释在游动电平范式下的检测，因此有人认为未来的研究必须考虑检测模型的其他变体。时间模型在游动电平条件下对阈值变化具有抗性，但最多只能解释可重复噪声数据中方差的67%。
