News

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.

Talk on M/EEG data analysis during the next Cortico days !

Glad to announce that I will give a talk during the day dedicated to early-career researchers (JJC-ICON’2021) of the [Cortico days 2021](https://www.cortico.fr/journees-cortico-2021/). I will present an overview of the M/EEG signals and the associated data analysis. The video and the materials of my talk are available [here](https://www.cortico.fr/videos-jjcicon-2021/) !

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 !

Paper on core-periphery reorganization in M/EEG multiplex brain networks during BCI training accepted in the Journal of Neural Engineering !

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)

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

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/).

RIGOLETTO paper accepted in ICASSP !

Pleased to announce with [Sylvain Chevallier](https://sylvchev.github.io) and [Florian Yger](http://www.yger.fr) that our manuscript on our participation to the Clinical BCI Challenge WCCI2020 has been accepted for the next [ICASSP](https://2021.ieeeicassp.org) conference ! The technical report and code about the competition are available [here](https://arxiv.org/abs/2102.06015)

Kick-off meeting of the newly-formed committee within the BCI Society

Truly honoured to have been chosen to serve as an active member of the Student and Postdoc Committee of the [BCI Society](https://bcisociety.org). Stay tuned for more information regarding our initiatives !

Our review on network-based brain computer interfaces accepted in JNE !

Proud of this huge team effort in which we covered a large scope from neuroimaging signals to BCI networks! Paper available [here](https://iopscience.iop.org/article/10.1088/1741-2552/abc760)

Just up on ArXiv, our latest work on brain network-based markers of BCI training !

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)

Our RIGOLETTO approach ranked 1st to the IEEE WCCI2020 Challenge !

Very pleased to announce with [Sylvain Chevallier](https://sylvchev.github.io) from Univ. Paris-Saclay and [Florian Yger](http://www.yger.fr) from Univ. Paris-Dauphine that our method combining functional connectivity with Riemannian geometry made it 1st to the [Clinical BCI Challenge IEEE WCCI2020](CBCIC2020sites.google.com) (within-subject category) ! More info to come, stay tuned !