Dynamic directed functional connectivity of causal learning

Informazioni relative al progetto

CausalBrain

ID dell’accordo di sovvenzione: 841684

DOI

10.3030/841684

Progetto concluso il 6 Maggio 2020

Data della firma CE 2 Maggio 2019

Data di avvio 1 Giugno 2019

Data di completamento 31 Agosto 2021

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 196 707,84

Contributo UE

€ 196 707,84

Coordinato da

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France

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

Periodo di rendicontazione: 2019-06-01 al 2021-05-31

Sintesi del contesto e degli obiettivi generali del progetto

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.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

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.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

None

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