Inference and Decision-Making (IDM)
DEC-ENS-LNC²
Axe 2 : Approches quantitatives à l'exploration du comportement et de la cognition
Axe 3 : Réseaux neuronaux, modélisation et intelligence artificielle
Team research topics:
The Inference and Decision-Making (IDM) team studies the computational and neural bases of human learning and decision-making under uncertainty, by combining mathematical modeling of behavior with multimodal recordings of brain activity. The IDM team has recently identified cognitive noise in human inferences as a key source of behavioral variability and adaptability under uncertainty. The IDM team actively collaborates with medical partners to apply its findings to the study of mental health disorders characterized by pathological decision-making under uncertainty (e.g., schizophrenia, obsessive-compulsive disorder). The IDM team also uses artificial intelligence models to better understand human cognition under uncertainty.
Main techniques used:
Quantitative analysis of behavior ; Neuroimaging (MEG/EEG/fMRI) ; Computational modeling of behavior and brain activity ; Artificial Intelligence
29 rue d'Ulm, 75005, PARIS
Team leader :
Valentin Wyart
Name of co-team leader :
Administrative Contact Name :
Marine Magne
Website : Cliquez ici
Key words : #Humain #Comportement #Cognition #Modélisation #Neuroimagerie #Human #Behavior #Modeling #Neuroimaging