Dynamics of low-pass-filtered object ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
Dynamics of low-pass-filtered object categories: A decoding approach to ERP recordings
Author(s) :
Wamain, Yannick [Auteur]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Garric, Clementine [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Lenoble, Quentin [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172

Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Garric, Clementine [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Lenoble, Quentin [Auteur]

Lille Neurosciences & Cognition (LilNCog) - U 1172
Journal title :
Vision Research
Abbreviated title :
Vision Research
Volume number :
204
Pages :
p. 108165
Publisher :
Elsevier BV
Publication date :
2023-03
ISSN :
0042-6989
English keyword(s) :
Living object
Manufactured object
Coarse-to-fine
Decoding
Manufactured object
Coarse-to-fine
Decoding
HAL domain(s) :
Sciences cognitives
English abstract : [en]
Rapid analysis of low spatial frequencies (LSFs) in the brain conveys the global shape of the object and allows for rapid expectations about the visual input. Evidence has suggested that LSF processing differs as a function ...
Show more >Rapid analysis of low spatial frequencies (LSFs) in the brain conveys the global shape of the object and allows for rapid expectations about the visual input. Evidence has suggested that LSF processing differs as a function of the semantic category to identify. The present study sought to specify the neural dynamics of the LSF contribution to the rapid object representation of living versus non-living objects. In this EEG experiment, participants had to categorize an object displayed at different spatial frequencies (LSF or non-filtered). Behavioral results showed an advantage for living versus non-living objects and a decrease in performance with LSF pictures of pieces of furniture only. Moreover, despite a difference in classification performance between LSF and non-filtered pictures for living items, the behavioral performance was maintained, which suggests that classification under our specific condition can be based on LSF information, in particular for living items.Show less >
Show more >Rapid analysis of low spatial frequencies (LSFs) in the brain conveys the global shape of the object and allows for rapid expectations about the visual input. Evidence has suggested that LSF processing differs as a function of the semantic category to identify. The present study sought to specify the neural dynamics of the LSF contribution to the rapid object representation of living versus non-living objects. In this EEG experiment, participants had to categorize an object displayed at different spatial frequencies (LSF or non-filtered). Behavioral results showed an advantage for living versus non-living objects and a decrease in performance with LSF pictures of pieces of furniture only. Moreover, despite a difference in classification performance between LSF and non-filtered pictures for living items, the behavioral performance was maintained, which suggests that classification under our specific condition can be based on LSF information, in particular for living items.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CNRS
CHU Lille
CNRS
CHU Lille
Collections :
Research team(s) :
Équipe Action, Vision et Apprentissage (AVA)
Submission date :
2023-12-15T10:34:12Z
2023-12-15T10:36:03Z
2023-12-19T15:10:41Z
2023-12-19T15:19:50Z
2023-12-15T10:36:03Z
2023-12-19T15:10:41Z
2023-12-19T15:19:50Z
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