This week, the NERV Lab moved to Austria to participate to the 9th Graz BCI Conference! It was a pleasure to attend this event with this vibrant community!
First, we organized a workshop dedicated to open-source tools for BCI. All the materials are available here: https://t.co/FdHDMJt45Y
Then, two of our rising stars presented their studies during a dedicated oral session: Camilla Mannino presented her [work](https://lnkd.in/d_hYHqxT) (#18) on the use of neuronal avalanches in the context of Brain-Computer Interfaces and Tristan Venot presented his [work](https://lnkd.in/d_hYHqxT) (#31) on dynamic brain networks in motor imagery-based BCI.
A huge thank you to the organizers, in particular to Gernot Müller-Putz and his team for putting together such a great event! We go back to Paris with so many new ideas (and chocolates)! Looking forward to the 10th edition of this insightful conference! Auf wiedersehen! 🇦🇹
A guided tour of recent & innovative open-source tools helping to design and use EEG-based Brain-Computer Interfaces (BCI). All the resources are available on [Github](https://github.com/Inria-NERV/Graz24-DesigningBCITools-Workshop)!
Open source tools for brain signal analysis have greatly matured in recent years. In this two half-days workshop, a guided tour was proposed on the design of EEG-based Brain-Computer Interfaces (BCI) using open-source tools. . All the resources are available on [Github](https://github.com/Inria-NERV/NEC24-DesigningBCI-Workshop)!
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 …
Truely happy to have taken part of the organization of the [CuttingGardens](https://cuttinggardens2023.org), a multi-hub meeting on EEG and MEG methods! I have notably animated a session dedicated to the use of BCI with 3 insightful talks given by R. Kobler, M. Tangermann, and T. Vaughan. All the materials (and many other features!) are available in the dedicated [github page](https://github.com/mccorsi/CuttingGarden2023-RealTimeEEG_BCI)
BCI-based neurofeedback (NFB) is a promising tool for counteracting neurological symptoms and informing neurorehabilitation strategies. Efforts have been made to improve BCI usability, by providing guidelines and predictors of performance. Yet, neurofeedback remains barely used in clinical settings and by patients in their daily life. In this workshop, we tackled the current challenges in clinical BCI research by identifying and discussing the key methodological and psychobiological aspects to foster its efficacy. We dealt with conceptual biases in clinical protocol designs. All the resources are available on [Github](https://github.com/mccorsi/BCI-2023-Clinical-BCI-workshop)!
The ecosystem of open source tools for brain signal analysis has greatly matured in recent years and has been essential in many instances of modern research. In this workshop, we showed to which extent the BCI community can benefit from open science practices. All the resources are available on [Github](https://github.com/mccorsi/BCI-2023-Open-Source-Tool-workshop)!
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!
On December 14th, with Arthur Desbois, we had the pleasure to organize a workshop on OpenViBE and Brain-Computer Interfaces research during the PracticalMEEG conference in Aix-en-Provence! All the resources are available on [Github](https://github.com/Inria-NERV/BCI-OpenViBE-PracticalMEEG2022/)!
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)