Cognitive architectures of causal learning

Funding: Agence Nationale de la Recherche ANR, 2019-2023

Consortium: Andrea Brovelli (PI), Mateus Joffily (GATE, Lyon), Mehdi Khamassi (ISIR, Paris), Julien Bastin (GIN, Grenoble)

The aim of this project is to study the neural and computational bases of human goal-directed causal learning by combining human neurophysiology (MEG and intracranial SEEG) and neuroimaging (fMRI) techniques with computational models of learning (Reinforcement Learning and Active Inference)


Model-free and model-based inference and validation workflows for causal brain network discovery

Funding: Human Brain Project HBP/EBRAINS, 2020-2023

Consortium: Andrea Brovelli (PI), Etienne Combrisson (post-doc INT), Jean Daunizeau (ICM, Paris), Gustavo Deco (UPF, Barcelona), Stefano Panzeri (IIT, Italy), Petra Ritter (Charité, Berlin), Olivier David (GIN, Grenoble)

The project aims at combining data-driven and model-based approaches for the inference of brain causal connectivity and the validation of whole-brain models. The goal is to integrate workflows and methods into EBRAINS. This projet is part of WP1 of SGA3 of the HBP.


Modelling information dynamics

Funding: 2 yrs post-doc fellowship from ILCB, 2019-21

Consortium: Andrea Brovelli (co-PI), Demian Battaglia (co-PI; INS, Marseille; USIAS, Strasbourg)

The influence of directional interactions in brain networks in predicting cognitive deficits post-stroke

Funding: FLAG-ERA HBP Partnering project, 2018-2020

Consortium: Andrea Brovelli (co-PI), Michele Allegra (post-doc), Marizio Corbetta (PI; Univ Padova, Italy)

Manu’s projects ANR with Lolo