Riemannian BCI based on EEG covariance have won many data competitions and achieved very high classification results on BCI datasets. To increase the accuracy of BCI systems, we propose an approach grounded on Riemannian geometry that extends this …
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/) !
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 !
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)