The noisy encoding of disparity model of the McGurk effect.
The noisy encoding of disparity model of the McGurk effect.
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DOI：
10.3758/s13423-014-0722-2
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发表时间：
2015-06
影响因子：
3.5
通讯作者：
Beauchamp MS
中科院分区：
文献类型：
--
作者：
Magnotti JF;Beauchamp MS
在麦格克效应中，听觉和视觉不一致的音节被视为第三个完全不同的音节。这种惊人的错觉已经成为个人和临床人群多感觉整合的流行试验。然而，不同的刺激引起错觉的频率以及错觉被不同的人感知的频率存在巨大的差异。大多数关于麦格克效应的研究都只使用一种刺激，因此不可能将刺激和个体差异分开。我们创建了一个概率模型，分别估计刺激和个体差异的行为数据，从165个人观看多达14个不同的McGurk刺激。噪声视差编码（NED）模型通过刺激的视听视差来表征刺激，并且通过刺激视差编码的噪声程度以及用于感知错觉的视差阈值来表征个体。该模型准确地描述了我们样本中McGurk效应的感知，表明个体之间的差异在刺激差异中是稳定的。NED模型最重要的好处是它提供了一种方法来比较个体和群体之间的多感觉整合，而不会混淆刺激差异。一个额外的好处是能够预测McGurk效应的频率，这是一个人以前从未见过的刺激。
In the McGurk effect, incongruent auditory and visual syllables are perceived as a third, completely different syllable. This striking illusion has become a popular assay of multisensory integration for individuals and clinical populations. However, there is enormous variability in how often the illusion is evoked by different stimuli and how often the illusion is perceived by different individuals. Most studies of the McGurk effect have used only one stimulus, making it impossible to separate stimulus and individual differences. We created a probabilistic model to separately estimate stimulus and individual differences in behavioral data from 165 individuals viewing up to 14 different McGurk stimuli. The noisy encoding of disparity (NED) model characterizes stimuli by their audiovisual disparity and characterizes individuals by how noisily they encode the stimulus disparity and by their disparity threshold for perceiving the illusion. The model accurately described perception of the McGurk effect in our sample, suggesting that differences between individuals are stable across stimulus differences. The most important benefit of the NED model is that it provides a method to compare multisensory integration across individuals and groups without the confound of stimulus differences. An added benefit is the ability to predict frequency of the McGurk effect for stimuli never before seen by an individual.
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影响因子：
16.2
作者：
Dinstein I;Heeger DJ;Lorenzi L;Minshew NJ;Malach R;Behrmann M
通讯作者：
Behrmann M
多感官提示组合的模型和过程。
影响因子：
5.7
作者：
Seilheimer RL;Rosenberg A;Angelaki DE
通讯作者：
Angelaki DE
DOI：
10.3758/bf03206849
发表时间：
1997-01-01
期刊：
PERCEPTION & PSYCHOPHYSICS
影响因子：
--
作者：
Sekiyama, K
通讯作者：
Sekiyama, K
影响因子：
2.4
作者：
Nahorna, Olha;Berthommier, Frederic;Schwartz, Jean-Luc
通讯作者：
Schwartz, Jean-Luc
影响因子：
4.6
作者：
Irwin, Julia R.;Tornatore, Lauren A.;Whalen, D. H.
通讯作者：
Whalen, D. H.