News

Participation to the first Pyladies Paris event at Paris Brain Institute!

I had the priviledge to present my work on BCI and to discuss with the attendance on career paths in the academia. A huge thank you to the organizers of this [Paris Pyladies](https://pyladies.com/locations/paris/) event! Materials used during the talk can be found [here](https://github.com/mccorsi/didactic-meeg-bci).

PracticalMEEG 2022, here we go!

Truely happy to take part of the organization of the [PracticalMEEG](https://practicalmeeg2022.org/) workshop! I will notably co-animate a [hands-on tutorial on OpenViBE](https://github.com/Inria-NERV/BCI-OpenViBE-PracticalMEEG2022) with my colleague Arthur Desbois and I will be a tutor during the [Fieldtrip sessions](https://www.fieldtriptoolbox.org/workshop/practicalmeeg2022/) with Robert Oostenveld and Laure Spieser!

Participation to a roundtable on neuroethics

Honoured to announce that I have been invited to participate to a roundtable on the way forward for neurotechnology governance on December, 15. This event is in line with 'The risks and challenges of neurotechnologies for human rights', a collection of articles based on an International Workshop held in 2021 and co-edited with UNESCO. This is an event organized by the Università degli studi di Milano-Bicocca. More info [here](http://www.sifd.eu/?p=12029/).

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!

Starting a new position!

Thrilled to announce that I am starting a new position as Research scientist at [Inria](https://www.inria.fr/en) in Paris! Same [institute](https://institutducerveau-icm.org/en/) and same [team](http://www.aramislab.fr/), but definitively new challenges! This would not have been possible without the support of my mentors, colleagues, and relatives. Thanks to them all!

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!

Chapter on EEG and MEG available!

Glad to present the chapter I wrote for the Book entitled *Machine learning for brain diseases*. This chapter aims at providing an overview of the electroencephalography and the magnetoencephalography domains. A preliminary version is available [here](https://hal.inria.fr/hal-03604421), and the code used to plot the figures and to propose some insights on M/EEG processing is available [here](https://github.com/mccorsi/ML-for-Brain-Disorders_MEEG).

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).