Pleased to announce that I will give a presentation during the next [IEEE ISBI](https://2023.biomedicalimaging.org/en/) conference. I will present my last piece of work in collaboration with F. Yger and S. Chevallier on the application of the FUCONE approach for bimodal M/EEG fusion. This talk will be given during the special session entitled 'Bimodal functional neuroimaging data fusion: methods and applications', organized by C. Cury and J. Coloigner. During this conference I will present two posters on this approach and on the use of neuronal avalanche in the BCI context. More info to come soon!
Pleased to announce that I will give a presentation during the next [NeuroFrance meeting](https://www.neurosciences.asso.fr/SN23/) 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!
Truely happy to take part of the organization of the [PracticalMEEG](https://practicalmeeg2022.org/) workshop! I will notably co-animate a [hands-on tutorial on OpenViBE](https://github.com/Inria-NERV/BCI-OpenViBE-PracticalMEEG2022) with my colleague Arthur Desbois and I will be a tutor during the [Fieldtrip sessions](https://www.fieldtriptoolbox.org/workshop/practicalmeeg2022/) with Robert Oostenveld and Laure Spieser!
On December 14th, with Arthur Desbois, we had the pleasure to organize a workshop on OpenViBE and Brain-Computer Interfaces research during the PracticalMEEG conference in Aix-en-Provence! All the resources are available on [Github](https://github.com/Inria-NERV/BCI-OpenViBE-PracticalMEEG2022/)!
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!
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).