Titre :

Computational models of hallucinations

Auteur(s) :

Jardri, Renaud [Auteur]
Laboratoire de Neurosciences Fonctionnelles et Pathologies [LNFP]
Denève, Sophie [Auteur]
Laboratoire de Neurosciences Cognitives & Computationnelles [LNC2]

Éditeur(s) ou directeur(s) scientifique(s) :

Jardri, Renaud
Cachia, A.
Thomas, Pierre
Pins, Delphine

Titre de l’ouvrage :

The Neuroscience of Hallucinations

Pagination :

289-313 p.

Éditeur :

Springer

Lieu de publication :

New York

Date de publication :

2013

ISBN :

978-1-4614-4120-5

Mot(s)-clé(s) en anglais :

Positive Symptom
Energy Landscape
Stochastic Noise
Attractor Network
Perceptual Illusion

Discipline(s) HAL :

Sciences de l'Homme et Société/Psychologie

Résumé en anglais : [en]

Recent advances in theoretical neuroscience have provided new insights into information processing within large brain-like networks operating in an uncertain world. The computational framework can overcome some of the ...
Lire la suite >Recent advances in theoretical neuroscience have provided new insights into information processing within large brain-like networks operating in an uncertain world. The computational framework can overcome some of the complexity within the object of study by predicting how basic changes in neural architecture may lead to systems-level changes that translate into changes in behavior. Computational models offer ways to unify basic neurochemical findings with data from more macroscopic levels and to start to apply these findings to cognitive sciences and psychiatry. Some of these approaches have been used to investigate the underlying mechanisms of subjective experiences, such as hallucinations, which can spontaneously emerge into consciousness in the absence of any corresponding external stimuli. This chapter describes some recent theoretical studies on four categories of positive symptoms of schizophrenia: neurodynamics, noise, disconnectivity, and Bayesian models of hallucinations. Results from simulations of these neural networks as well as the potential alterations leading to aberrant experiences are presented and discussed.Lire moins >

Langue :

Anglais

Audience :

Non spécifiée

Vulgarisation :

Non

Établissement(s) :

CNRS
Université de Lille
CHU Lille

Collections :

• Autres travaux scientifiques

Date de dépôt :

2019-03-08T14:19:54Z
2019-11-12T07:13:47Z
2019-11-12T07:15:29Z
2020-04-16T15:03:42Z
2020-04-29T13:35:32Z