Could not attend the workshop? All the resources are available here: github.com/Inria-NERV/NEC…! [6/6]

What about feature interpretability in #BCI? 🤔 We delved into network lateralization to enhance feature interpretability in motor imagery tasks, benchmarking against #PSD, #CSP, and #Riemannian methods. With Fabrizio, de Vico Fallani Check it out! 🧠🕸 arxiv.org/abs/2407.11617

👏👏👏👏 Congrats Venot Tristan !!

Couldn't attend? Here's the Github repo with all info and resources: github.com/Inria-NERV/NEC…

Participating to biomag2024 and interested in crosstalk between brain modeling and data analysis? Join our symposium tomorrow at 9:45AM (Room MR C2.1) w/Michael Breakspear, Laura Marzetti (she/her), & Parul Verma! I will have the pleasure to co-chair this session w/ Pierpaolo Sorrentino. Stay tuned!

Still on the fence about joining the #CuttingEEGX festivities? In the coming days we'll be revealing 10 reasons why you won't want to miss it… Stay tuned! The program is almost final and you are not ready for this!! 😁 Go check it out 👉 cuttingeegx.org

Today I'm presenting #HappyFeat for feature selection in #BCI at #GrazBci2024 Graz BCI Conference! Join us in WS2 from 9am to 12am. More info in future tweets ;)

Today, I had the pleasure to chair a workshop on the design of innovative Brain-Computer Interfaces (BCIs), from a theoretical point of view to real-life scenarios during Graz BCI Conference 2024! We had 4 excellent speakers who proposed open-source tools to help you! [1/6]

Pierre from Donders Institute presented #MOABB (also known as "Mother of all BCI Benchmarks") to rigorously compare classification pipelines in BCI 👉 neurotechx.github.io/moabb/ [2/6]

Bruno Aristimunha from Université Paris-Saclay introduced #braindecode to decode raw electrophysiological brain data with deep learning models 👉 braindecode.org/stable/index.h… [3/6]

Arthur Desbois from NERV Lab @Inria_Paris showed how to extract and select the most relevant features with #happyfeat 👉happyfeat.readthedocs.io/en/latest/ [4/6]

Last but not least, Pierre Clisson presented concrete examples of BCIs into the wild with Timeflux, a useful tool to design your experimental setup 👉 timeflux.io [5/6]

Could not attend? All the materials are available here: github.com/Inria-NERV/Gra…! [6/6]

Congrats Venot Tristan !! 👏👏👏👏✨🔥 -- Centre Inria de Paris Institut du Cerveau - Paris Brain Institute NERV Lab