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Auteur Arnaud DESTREBECQZ
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Documents disponibles écrits par cet auteur (1)



Predictive Processing During Cue-Outcome Associative Learning in Autistic Children / Fanny PAPASTAMOU in Journal of Autism and Developmental Disorders, 55-10 (October 2025)
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[article]
Titre : Predictive Processing During Cue-Outcome Associative Learning in Autistic Children Type de document : texte imprimé Auteurs : Fanny PAPASTAMOU, Auteur ; Charlotte DUMONT, Auteur ; Arnaud DESTREBECQZ, Auteur ; Mikhail KISSINE, Auteur Article en page(s) : p.3565-3581 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Predictive coding theories posit that autism is characterized by an over-adjustment to prediction errors, resulting in frequent updates of prior beliefs. Atypical weighting of prediction errors is generally considered to negatively impact the construction of stable models of the world, but may also yield beneficial effects. In a novel associative learning paradigm, we investigated whether unexpected events trigger faster learning updates in favour of subtle but fully predictive cues in autistic children compared to their non-autistic counterparts. We also explored the relationship between children’s language proficiency and their predictive performances. En ligne : https://doi.org/10.1007/s10803-024-06448-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=568
in Journal of Autism and Developmental Disorders > 55-10 (October 2025) . - p.3565-3581[article] Predictive Processing During Cue-Outcome Associative Learning in Autistic Children [texte imprimé] / Fanny PAPASTAMOU, Auteur ; Charlotte DUMONT, Auteur ; Arnaud DESTREBECQZ, Auteur ; Mikhail KISSINE, Auteur . - p.3565-3581.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 55-10 (October 2025) . - p.3565-3581
Index. décimale : PER Périodiques Résumé : Predictive coding theories posit that autism is characterized by an over-adjustment to prediction errors, resulting in frequent updates of prior beliefs. Atypical weighting of prediction errors is generally considered to negatively impact the construction of stable models of the world, but may also yield beneficial effects. In a novel associative learning paradigm, we investigated whether unexpected events trigger faster learning updates in favour of subtle but fully predictive cues in autistic children compared to their non-autistic counterparts. We also explored the relationship between children’s language proficiency and their predictive performances. En ligne : https://doi.org/10.1007/s10803-024-06448-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=568