Pleased to announce that I will give a presentation during the [Brain Criticality meeting](https://braincriticality.org/) conference. I will present my last piece of work in collaboration with P. Sorrentino on the use of neuronal avalanches to inform BCI performance. More info to come soon!
Thrilled to announce that I am starting a new position as Research scientist at [Inria](https://www.inria.fr/en) in Paris! Same [institute](https://institutducerveau-icm.org/en/) and same [team](http://www.aramislab.fr/), but definitively new challenges! This would not have been possible without the support of my mentors, colleagues, and relatives. Thanks to them all!
Glad to present our last piece of work in collaboration with P. Sorrentino in which we used neuronal avalanches to propose alternative and robust markers to differenciate mental states! Preprint available [here](https://www.biorxiv.org/content/10.1101/2022.06.14.495887v1)
Pleased to announce that I will give a presentation during the [CNS 2022](https://www.cnsorg.org/cns-2022) conference. I will present my last piece of work in collaboration with P. Sorrentino on the use of neuronal avalanches to inform BCI performance. More info to come soon!
Glad to present the chapter I wrote for the Book entitled *Machine learning for brain diseases*. This chapter aims at providing an overview of the electroencephalography and the magnetoencephalography domains. A preliminary version is available [here](https://hal.inria.fr/hal-03604421), and the code used to plot the figures and to propose some insights on M/EEG processing is available [here](https://github.com/mccorsi/ML-for-Brain-Disorders_MEEG).
Thrilled to present our last piece of work in which we combined functional connectivity estimators with Riemannian geometry via an ensemble methods to improve the classification accuracy on a large number of publicly available datasets! OA version available [here](http://arxiv.org/abs/2111.03122), code paper available [here](https://www.softwareimpacts.com/article/S2665-9638(22)00019-7/fulltext) and code used available [here](https://github.com/mccorsi/FUCONE).
Truly honoured to have the opportuniy to serve as co-chair of the PSC! Looking forward working for new initiatives dedicated to students and postdocs of the BCI community!
Thrilled to present our last piece of work in which we combined functional connectivity estimators with Riemannian geometry via an ensemble methods to improve the classification accuracy on a large number of publicly available datasets! Preprint available [here](http://arxiv.org/abs/2111.03122) and code used available [here](https://github.com/mccorsi/FUCONE).
Thrilled to announce that we will organize a workshop during 5th Symposium on cutting-edge methods for EEG research [CuttingEEG](https://cuttingeeg2021.org). We will propose a hands-on tutorial on [OpenViBE](http://openvibe.inria.fr), a software plaform dedicated to BCI research. All the resources available in the dedicated [github page](https://github.com/BCI-NET/BCI-OpenViBE-CuttingEEG2021)