motor imagery

Abstracts accepted for an oral presentation and two posters in the IEEE International Symposium on Biomedical Imaging!

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!

Abstract accepted for oral presentation in the 2023 NeuroFrance Meeting!

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!

Abstract accepted for oral presentation in the 2022 Brain Criticality Meeting!

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!

Just up on bioRxiv, our latest work on the use of neuronal avalanches to identify patterns of BCI performance!

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)

Abstract accepted for oral presentation in the 31st Annual Computational Neuroscience Meeting!

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 be awarded a Federation of European Neuroscience Societies (FENS) 2022 Award!

This award is both based on my abstract submission and on my career path. More information coming soon!

Paper on functional connectivity ensemble method to enhance BCI performance accepted in IEEE Transactions on Biomedical Engineering!

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).

Just up on ArXiv, our latest work on functional connectivity ensemble method to enhance BCI performance!

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).

Glad to be awarded a BCI Society Best Oral presentation Award on our work on markers of BCI training based on functional connectivity !

Truly honoured to have received the #vBCI2021 best oral presentation award ! Thank you very much to the BCI Society for this award and for having put together this incredible conference ! Slides are available in the Talks section.

Abstract accepted for oral presentation in Networks 2021 conference !

Pleased to announce that I will give a presentation during the [Networks 2021](https://networks2021.net) conference. I will present my last piece of work on the use of multilayer appproaches to elicit patterns of BCI learning. More info to come !