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] |
| Copyright of Visual Cognition is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 176179619 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A robust neural index of automatic generalization across variable natural views of familiar face identities. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22David%2C+Justine%22">David, Justine</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koessler%2C+Laurent%22">Koessler, Laurent</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rossion%2C+Bruno%22">Rossion, Bruno</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Visual+Cognition%22">Visual Cognition</searchLink>. Sep2023, Vol. 31 Issue 8, p571-583. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+evoked+response%22">Visual evoked response</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Face+perception%22">Face perception</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Visual Cognition is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=176179619 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/13506285.2024.2315796 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 571 Subjects: – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Visual evoked response Type: general – SubjectFull: Electroencephalography Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Analysis of variance Type: general – SubjectFull: Statistics Type: general – SubjectFull: Visual perception Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Face perception Type: general Titles: – TitleFull: A robust neural index of automatic generalization across variable natural views of familiar face identities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: David, Justine – PersonEntity: Name: NameFull: Koessler, Laurent – PersonEntity: Name: NameFull: Rossion, Bruno IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13506285 Numbering: – Type: volume Value: 31 – Type: issue Value: 8 Titles: – TitleFull: Visual Cognition Type: main |
| ResultId | 1 |