A robust neural index of automatic generalization across variable natural views of familiar face identities.
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| Title: | A robust neural index of automatic generalization across variable natural views of familiar face identities. |
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| Authors: | David, Justine (AUTHOR), Koessler, Laurent (AUTHOR), Rossion, Bruno (AUTHOR) |
| Source: | Visual Cognition. Sep2023, Vol. 31 Issue 8, p571-583. 13p. |
| Subjects: | T-test (Statistics), Data analysis, Research funding, Visual evoked response, Electroencephalography, Descriptive statistics, Analysis of variance, Statistics, Visual perception, Data analysis software, Face perception |
| Abstract: | The ability to automatically and rapidly recognize a familiar face identity across different views is well documented but generally measured with explicit behavioural tasks involving many other processes. Here we provide a sensitive implicit neural measure of this ability using electroencephalographic (EEG) recordings coupled with fast periodic visual stimulation (FPVS). Images of two famous face identities alternated for 15 seconds at a frequency rate of 6 Hz, preceded by a 15 seconds adaptation period to images of one of the face identities. Beyond previous studies, numerous (N = 60) non-edited variable natural face images of each identity were presented, with different images appearing at adaptation (N = 30) and test. At the group-level (N = 16), 3 stimulation sequences only were sufficient to elicit highly significant EEG peaks at odd harmonics (3 and 9 Hz), reflecting face identity discrimination across variable novel views. This response was maximally localized over the right occipito-temporal region and statistically significant in 75% of individuals tested. Importantly, the face identity discrimination response at odd harmonics was significantly larger than when the exact same stimulation sequences were preceded by images of a face identity not present in the alternating sequence (irrelevant adaptation condition). Overall, this study provides a highly sensitive and objective technique to implicitly measure an individual's ability to generalize identity across different views of a familiar face identity. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | The ability to automatically and rapidly recognize a familiar face identity across different views is well documented but generally measured with explicit behavioural tasks involving many other processes. Here we provide a sensitive implicit neural measure of this ability using electroencephalographic (EEG) recordings coupled with fast periodic visual stimulation (FPVS). Images of two famous face identities alternated for 15 seconds at a frequency rate of 6 Hz, preceded by a 15 seconds adaptation period to images of one of the face identities. Beyond previous studies, numerous (N = 60) non-edited variable natural face images of each identity were presented, with different images appearing at adaptation (N = 30) and test. At the group-level (N = 16), 3 stimulation sequences only were sufficient to elicit highly significant EEG peaks at odd harmonics (3 and 9 Hz), reflecting face identity discrimination across variable novel views. This response was maximally localized over the right occipito-temporal region and statistically significant in 75% of individuals tested. Importantly, the face identity discrimination response at odd harmonics was significantly larger than when the exact same stimulation sequences were preceded by images of a face identity not present in the alternating sequence (irrelevant adaptation condition). Overall, this study provides a highly sensitive and objective technique to implicitly measure an individual's ability to generalize identity across different views of a familiar face identity. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 13506285 |
| DOI: | 10.1080/13506285.2024.2315796 |