Neuro-Computational Bases of Learning
We have shown that associative visuomotor learning involves the activation of cortico-striatal networks for the processing of outcomes (Brovelli et al., 2008) and choices (Brovelli et al., 2011). More recently, in collaboration with Benoit Girard and Mehdi Khamassi from ISIR, we have developed a dual computational approach modelling choices and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning (Viejo et al., 2015). Ovearll, the goal of our projects is to investigate how information flows in fronto-striatal cortico-cortical and cortico-striatal circuits during reward-based learning. In collaboration with Paul Apicella and Ruggero Basanisi at INT, we also studying how beliefs about causal relations between actions and outcomes form during goal-directed learning. These projects are funded by the the Mission pour l’Interdisciplinarité of the CNRS GoHal project (2012-2013), by the Integrative and Clinical Neuroscience PhD program through a PhD fellowship awarded to Ruggero Basanisi (2018-2021) and more recently by the ANR (CausaL project, 2019-2022).
Functional Connectivity and Information Dynamics
Previous work has shown that Granger causality is an effective tools for the analysis of directional statistical dependences between neural signals (Brovelli et al., 2004). More recently, we have developed approaches for the analysis of single-trial Granger causality (Brovelli et al., 2015) and the dynamics of functional connectivity, i.e., temporal brain networks (Brovelli et al., 2017). Current FC tools are based on a cortical parcellation atlas developed in collaboration with the MeCa team (Auzias et al., 2016). We are currently developping automatised pipelines for the analysis of task-related Functional Connectivity Dynamics (FCD) in collaboration with Demian Battaglia. These projects are supported by the Institute of Language, Communication and the Brain and the Mission pour l’Interdisciplinarité of the CNRS BrainTime project (2017-2019).
Functional Connectivity Alterations of Resting-State Networks
In collaboration with Maurizio Corbetta, Rainer Goebel and Gustavo Deco. Brainsynch-Hit project (2018-2020) funded by the FLAG-ERA FET Flagship (Human Brain Project)
The goal of this project is to study directional interactions in resting-state brain networks and their ability in predicting cognitive deficits observed post-stroke in patients.