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).
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).
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.
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 !
Our last piece deals with the combination of MEG with EEG to track brain networks reorganization during BCI training. The accepted manuscript is now published in the Journal of Neural Engineering [here](http://iopscience.iop.org/article/10.1088/1741-2552/abef39), and available in open access [here](https://hal.archives-ouvertes.fr/hal-03171591v1)
This Student Award is based on my accepted 2020 abstract submission. I will give a presentation during the next Virtual BCI meeting, scheduled next June ! For more information regarding this work, our study is available [here](https://hal.archives-ouvertes.fr/hal-02438794/).
Glad to present our last piece of work in which we combined MEG and EEG data to track brain networks reorganization during BCI training ! Preprint available [here](http://arxiv.org/abs/2010.13459)
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