2010
DOI: 10.1016/j.neuropsychologia.2010.08.016
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Adaptation modulates the electrophysiological substrates of perceived facial distortion: Support for opponent coding

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Cited by 25 publications
(19 citation statements)
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“…For example, Folstein et al (2008) examined N200 potentials during classification tasks involving artificial creatures, and found larger N200 potentials for creatures with relatively unique perceptual features when those features represented task-relevant dimensions. Although occipito-temporal P2s have not been extensively examined using non-face stimuli, P2 amplitudes have been found to decrease when faces are transformed along featural or configural dimensions, such that they are smaller for faces that appear more unique (although this pattern may be specific to within-identity transformations and has not been examined in OR faces; Halit et al, 2000; Burkhardt et al, 2010). On the basis these reports, N200 and P2 potentials appear to have opposing relationships to perceptual uniqueness.…”
Section: Discussionmentioning
confidence: 99%
“…For example, Folstein et al (2008) examined N200 potentials during classification tasks involving artificial creatures, and found larger N200 potentials for creatures with relatively unique perceptual features when those features represented task-relevant dimensions. Although occipito-temporal P2s have not been extensively examined using non-face stimuli, P2 amplitudes have been found to decrease when faces are transformed along featural or configural dimensions, such that they are smaller for faces that appear more unique (although this pattern may be specific to within-identity transformations and has not been examined in OR faces; Halit et al, 2000; Burkhardt et al, 2010). On the basis these reports, N200 and P2 potentials appear to have opposing relationships to perceptual uniqueness.…”
Section: Discussionmentioning
confidence: 99%
“…In contrast to this effect after adaptations to distorted faces, no such adaptation effect followed the presentation of original face images (i.e., distorted faces still appeared distorted). In this way, Webster and MacLin provided among the first evidence for adaptation effects in complex, natural objects, suggesting that adaptation may play an important normalizing role in face perception and adaptation effects may strongly influence form perception (see also Zhao and Chubb, 2001; Morikawa, 2005; Yamashita et al, 2005; Jeffery et al, 2006, 2007; Jaquet et al, 2007, 2008; Robbins et al, 2007; Jaquet and Rhodes, 2008; Burkhardt et al, 2010; Hills et al, 2010); such a “complex” adaptation phenomenon was recently transferred to animals, trees, or every-day objects (e.g., light bulb; Daelli et al, 2010). …”
Section: Investigating the Adaptation Effects Of Different Types Of Fmentioning
confidence: 99%
“…Compared to categorical adaptation effects on the N170, the time windows of those specific effects appeared more variable. Zimmer and Kovács [17] showed that N170 was additionally reduced after adaptation to distorted as compared to undistorted faces, whereas Burkhardt et al [21] found the earliest effect after a similar manipulation in a later P250 component. Somehow at odds with findings of N170 being insensitive to the repetition of facial identity [19], [22], [23] or to familiarity per se [24], recent studies also reported a sensitivity of the N170 ERP to the identity of unfamiliar faces in an adaptation paradigm, but without addressing behavioural aftereffects (e.g., [25]).…”
Section: Introductionmentioning
confidence: 95%
“…Category-specific adaptation, especially of the N170 ERP component (or of its magnetic equivalent, the M170), was observed as reduced amplitudes for test faces following adaptation to faces as compared to stimuli of a different category [7], [8], [17][20]. Some studies also reported distortion-specific modulations of ERPs for test faces after adaptation to distorted faces [17], [21]. Compared to categorical adaptation effects on the N170, the time windows of those specific effects appeared more variable.…”
Section: Introductionmentioning
confidence: 99%