Dynamics of low-pass-filtered object categories: A decoding approach to ERP recordings

Wamain, Yannick; Garric, Clementine; Lenoble, Quentin

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.1016/j.visres.2022.108165

URL permanente :

http://hdl.handle.net/20.500.12210/93328

Titre :

Dynamics of low-pass-filtered object categories: A decoding approach to ERP recordings

Auteur(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

Titre de la revue :

Vision Research

Nom court de la revue :

Vision Research

Numéro :

204

Pagination :

p. 108165

Éditeur :

Elsevier BV

Date de publication :

2023-03

ISSN :

0042-6989

Mot(s)-clé(s) en anglais :

Living object
Manufactured object
Coarse-to-fine
Decoding

Discipline(s) HAL :

Sciences cognitives

Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CNRS
CHU Lille

Collections :

Équipe(s) de recherche :

Équipe Action, Vision et Apprentissage (AVA)

Date de dépôt :

2023-12-15T10:34:12Z
2023-12-15T10:36:03Z
2023-12-19T15:10:41Z
2023-12-19T15:19:50Z

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Manuscrit_VisionResearchR2finalWithoutchange.pdf
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Historique des modifications

Numéro de version	Lien	Date de modification
4	20.500.12210/93328*	2023-12-19T15:19:33Z
3	20.500.12210/93328.3	2023-12-19T15:07:23Z
2	20.500.12210/93328.2	2023-12-15T10:35:05Z
1	20.500.12210/93328.1	2023-12-15T10:34:12Z

*Version sélectionnée

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