2014
DOI: 10.1186/1471-2202-15-87
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The effect of parametric stimulus size variation on individual face discrimination indexed by fast periodic visual stimulation

Abstract: BackgroundThe human brain is frequently exposed to individual faces across a wide range of different apparent sizes, often seen simultaneously (e.g., when facing a crowd). Here we used a sensitive and objective fast periodic visual stimulation approach while recording scalp electroencephalogram (EEG) to test the effect of size variation on neural responses reflecting individual face discrimination.MethodsEEG was recorded in ten observers presented with the same face identity at a fixed rate (5.88 Hz, frequency… Show more

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Cited by 72 publications
(81 citation statements)
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“…The processing of each image likely persists to some extent until it is interrupted, such that rapid serial visual presentation paradigms have led to behavioral and neural response signatures within less than 20 ms presentation duration (Keysers et al, 2001;Potter et al, 2014). While the display time of each image here is brief, a study by Foster, Craven, and Sale (1992), showed that illuminant vs. surface color changes were detected extremely rapidly, even below 83 ms. At each image presentation, the size varied from 90-110% of the size of the original image in 10% steps to reduce pixel-based image repetition effects (see Dzhelyova & Rossion, 2014). As described in the Introduction, in Experiment 1 there were two experimental conditions, in each of which a pair of images of the dress were presented in alternation: (1) blue-yellow, alternating the original bluish and hue-inverted yellowish images of the dress; and (2) green-red, alternating the greenish and reddish images of the dress.…”
Section: Fast Periodic Visual Stimulation (Fpvs) Proceduresmentioning
confidence: 99%
“…The processing of each image likely persists to some extent until it is interrupted, such that rapid serial visual presentation paradigms have led to behavioral and neural response signatures within less than 20 ms presentation duration (Keysers et al, 2001;Potter et al, 2014). While the display time of each image here is brief, a study by Foster, Craven, and Sale (1992), showed that illuminant vs. surface color changes were detected extremely rapidly, even below 83 ms. At each image presentation, the size varied from 90-110% of the size of the original image in 10% steps to reduce pixel-based image repetition effects (see Dzhelyova & Rossion, 2014). As described in the Introduction, in Experiment 1 there were two experimental conditions, in each of which a pair of images of the dress were presented in alternation: (1) blue-yellow, alternating the original bluish and hue-inverted yellowish images of the dress; and (2) green-red, alternating the greenish and reddish images of the dress.…”
Section: Fast Periodic Visual Stimulation (Fpvs) Proceduresmentioning
confidence: 99%
“…To consider the variations of noise across the amplitude spectrum, a baseline subtraction was applied to each frequency component by subtracting the average amplitude of 20 surrounding frequency components (10 on each side, excluding the immediately adjacent bins and the local minimum and maximum bins; see, for example, Dzhelyova & Rossion, 2014;Mouraux et al, 2011) from the amplitude of the frequency component of interest. In addition, the signal-to-noise ratio (SNR) was also calculated by considering the same 20 surrounding frequency components (e.g., Rossion, Alonso Pireto, Boremanse, Kuefner, & Van Belle, 2012).…”
Section: Frequency-domain Analysismentioning
confidence: 99%
“…Experiments designed to assess facial identity discrimination with FPVS typically control for repetition of low-level image features by randomly varying size at every presentation cycle (e.g., Liu-Shuang et al, 2014;Dzhelyova & Rossion, 2014a;2014b;Xu et al, 2017). Moreover, in these experiments different and highly variable face identities are introduced at every oddball cycle, rather than the same oddball face identity, preventing repetition effects across oddball changes, increasing the individual face discrimination response, and minimizing again the contribution of low-level visual cues to this individual face discrimination response (Liu-Shuang et al, 2014;Dzhelyova & Rossion, 2014a;2014b;Xu et al, 2017).…”
Section: Caveatsmentioning
confidence: 99%