Talks

Using critical dynamics to capture processes underlying brain-computer interface performance

Talk given during the NeuroFrance conference (Theoretical and computational approaches in neuroscience - network neuroscience beyond connectivity session). I presented the [work](https://www.biorxiv.org/content/10.1101/2022.06.14.495887v3) done in collaboration with P. Sorrentino.

Ensemble of Riemannian classifiers for multimodal data - FUCONE approach for M/EEG data

Talk given during the 2023 IEEE ISBI conference. I presented 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 has been given during the special session entitled 'Bimodal functional neuroimaging data fusion - methods and applications', organized by C. Cury and J. Coloigner.

Exploiting neuronal avalanches to inform BCI performance

Talk given during the CSN*2022 conference (Memory and learning, machine learning session). I presented the [work](https://www.biorxiv.org/content/10.1101/2022.06.14.495887v1) done in collaboration with P. Sorrentino.

OpenViBE, an open-source software platform for Brain-Computer Interfaces [Hands-on tutorial]

On October 6th, with Arthur Desbois, we had the pleasure to organize a workshop on OpenViBE and Brain-Computer Interfaces research during the CuttingEEG conference in the beautiful city of Aix-en-Provence! If you could not make it, all the resources are available on Github! You will have access to our slides, the OpenViBE scenarios and many more resources helping you to learn more about the BCI research by browsing the dedicated [github page](https://github.com/BCI-NET/BCI-OpenViBE-CuttingEEG2021)

Core-periphery markers of longitudinal BCI from multiplex brain networks

Talk given during the Networks 2021 conference (Biomarkers and Networks session).

Functional connectivity predicts MI-based BCI learning

Talk awarded during the Virtual BCI meeting 2021.

M/EEG data analysis, where it all begins !

Short master class on M/EEG data analysis.