The temporal dynamics of familiar face recognition: Event-related brain potentials reveal the efficient activation of facial identity representations.
Event-related potentials
Face recognition
Familiarity
N250r
Repetition priming
Journal
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
ISSN: 1872-7697
Titre abrégé: Int J Psychophysiol
Pays: Netherlands
ID NLM: 8406214
Informations de publication
Date de publication:
19 Aug 2024
19 Aug 2024
Historique:
received:
11
04
2024
revised:
14
08
2024
accepted:
17
08
2024
medline:
22
8
2024
pubmed:
22
8
2024
entrez:
21
8
2024
Statut:
aheadofprint
Résumé
While it is widely known that humans are typically highly accurate at recognizing familiar faces, it is less clear how efficiently recognition is achieved. In a series of three experiments, we used event-related brain potentials (ERP) in a repetition priming paradigm to examine the efficiency of familiar face recognition. Specifically, we varied the presentation time of the prime stimulus between 500 ms and 33 ms (Experiments 1 and 2), and additionally used backward masks (Experiment 3) to prevent the potential occurrence of visual aftereffects. Crucially, to test for the recognition of facial identity rather than a specific picture, we used different images of the same facial identities in repetition conditions. We observed clear ERP repetition priming effects between 300 and 500 ms after target onset at all prime durations, which suggests that the prime stimulus was sufficiently well processed to allow for facilitated recognition of the target in all conditions. This finding held true even in severely restricted viewing conditions including very brief prime durations and backward masks. We conclude that the facial recognition system is both highly effective and efficient, thus allowing for our impressive ability to recognise the faces that we know.
Identifiants
pubmed: 39168164
pii: S0167-8760(24)00127-2
doi: 10.1016/j.ijpsycho.2024.112423
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
112423Informations de copyright
Copyright © 2024. Published by Elsevier B.V.