motor imagery

HappyFeat—An interactive and efficient BCI framework for clinical applications

Brain–Computer Interface (BCI) systems allow to perform actions by translating brain activity into commands. Such systems require training a classification algorithm to discriminate between mental states, using specific features from the brain …

Our paper 'Measuring neuronal avalanches to inform Brain-Computer Interfaces' accepted in iScience!

Pleased to announce that our paper done in collaboration with P. Sorrentino has been accepted in iScience! Paper available [here](https://www.sciencedirect.com/science/article/pii/S2589004223028110)

A busy day for HappyFeat!

On December 6th, with Tristan Venot and Arthur Desbois we had the priviledge to present HappyFeat at Paris Santé Campus! On the way to go there we were informed that our paper has been accepted in Software Impacts. Congratulations to Arthur Desbois for his huge work! Paper available [here](https://www.sciencedirect.com/science/article/pii/S2665963823001471)

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).