Circular inference: mistaken belief, ...
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
Circular inference: mistaken belief, misplaced trust
Auteur(s) :
Denève, Sophie [Auteur]
Jardri, Renaud [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Jardri, Renaud [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Titre de la revue :
Current Opinion in Behavioral Sciences
Nom court de la revue :
Current Opinion in Behavioral Sciences
Numéro :
11
Pagination :
40-48
Date de publication :
2016-10-01
ISSN :
2352-1546
Discipline(s) HAL :
Sciences cognitives
Résumé en anglais : [en]
At the clinical level, psychosis can be formalized as the formation of aberrant beliefs or percepts and has been proposed to result from disruptions in the excitation/inhibition (E/I) balance in cortical microcircuitry. ...
Lire la suite >At the clinical level, psychosis can be formalized as the formation of aberrant beliefs or percepts and has been proposed to result from disruptions in the excitation/inhibition (E/I) balance in cortical microcircuitry. However, these two conceptual approaches toward psychosis have yet to be correlated. Here, we review recent empirical and computational studies that enable an integrated understanding of how the brain may generate beliefs along a spectrum ranging from normal to pathology. We mainly focus on hierarchical predictive coding and circular inference. We will expose how these two frameworks may account for hallucinations, delusions, and reduced susceptibility to illusions, and we will additionally critically discuss their respective strengths and weaknesses as well as potential future research directions.Lire moins >
Lire la suite >At the clinical level, psychosis can be formalized as the formation of aberrant beliefs or percepts and has been proposed to result from disruptions in the excitation/inhibition (E/I) balance in cortical microcircuitry. However, these two conceptual approaches toward psychosis have yet to be correlated. Here, we review recent empirical and computational studies that enable an integrated understanding of how the brain may generate beliefs along a spectrum ranging from normal to pathology. We mainly focus on hierarchical predictive coding and circular inference. We will expose how these two frameworks may account for hallucinations, delusions, and reduced susceptibility to illusions, and we will additionally critically discuss their respective strengths and weaknesses as well as potential future research directions.Lire moins >
Langue :
Anglais
Audience :
Non spécifiée
Établissement(s) :
Université de Lille
CNRS
CHU Lille
CNRS
CHU Lille
Équipe(s) de recherche :
Équipe Psychiatrie & Croyance (PsyCHIC)
Date de dépôt :
2019-02-13T14:48:23Z
2019-12-03T15:57:58Z
2019-12-03T15:57:58Z