Dynamic directed functional connectivity of causal learning

Informations projet

CausalBrain

N° de convention de subvention: 841684

DOI

10.3030/841684

Projet clôturé le 6 Mai 2020

Date de signature de la CE 2 Mai 2019

Date de début 1 Juin 2019

Date de fin 31 Août 2021

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 196 707,84

Contribution de l’UE

€ 196 707,84

Coordonné par

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France

Periodic Reporting for period 1 - CausalBrain (Dynamic directed functional connectivity of causal learning)

Période du rapport: 2019-06-01 au 2021-05-31

Résumé du contexte et des objectifs généraux du projet

Comprehending how we learn causal relations has been an issue dating as far back as antiquity. Even with today’s advances in technology and neuroscience, among other fields, the exact pathway the brain uses to build such beliefs remains elusive. The working hypothesis of the CausalBrain project was that several brain regions are involved through directed interactions in forming networks to help the brain learn. By using magnetoencephalographic data collected during a causal learning task, the project aimed to clarify this pathway further, and to test current causal learning theories against behavioral and brain data.
Unfortunaly, the fellow of the Marie-Curie fellowship (Andrea Insabato) resigned after one month and a half from the start of the projet on the 13th October 2019.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

Andrea Insabato (Marie Curie fellow) started preparing the workflows for the analysis of huma MEG data. As a reminder the project has been stopped after 1.5 months, due to resignation of the fellow.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

None

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