neurophysiology

A busy week at the 11th BCI meeting for the NERV lab!

What a week for the NERV Lab at the BCI Meeting 2025 in the wonderful Banff, Canada! First, two of our rising stars, whom I have the pleasure to co-supervise, presented their studies during a poster session and a masterclass session: Cassandra Dumas presented her work on the [challenges in Common Spatial Pattern reliability for Neurofeedback](https://lnkd.in/duUCrAd7) and Camilla Mannino presented her latest work on the [use of neuronal avalanches as a predictive biomarker of BCI performance](https://lnkd.in/dTFGcA28). Then, I had the pleasure of participating in the workshop on AI+Data chaired by Eli Kinney-Lang, where I presented [MOABB](https://lnkd.in/dWGhE_nA) (also known as 'Mother of All BCI Benchmarks') to benchmark classification pipelines in BCI On the last day of the conference, together with Tristan Venot and Serafeim Perdikis, we organized a workshop dedicated to the exploration of features to improve BCI. It was a fruitful session with a lot of discussions with the audience. A huge thank you to the speakers: Maryam Alimardani, Pierpaolo Sorrentino, Fabrizio, De Vico Fallani, Arthur Desbois, Sonja Kleih-Dahms, Tomko Settgast, Reinhold Scherer & Jose del R. Millan. Associated materials: https://lnkd.in/d7j9gArz Finally, on the occasion of the early career award session, I had the honor of giving a talk where I could provide a tour of the current projects I have the pleasure to lead on the investigation of brain interactions for BCI and the tools we are developing for the BCI community, such as [Happyfeat](https://lnkd.in/eRftdEGP) led by Arthur Desbois. I am deeply grateful to the award committee of the BCI Society for this recognition! A huge thank you to the organizers, in particular to the conference chairs Mariska van Steensel & Marc Slutzky, and the scientific program committee chairs Reinhold Scherer and Eli Kinney-Lang for putting together such a great event! We go back to Paris with so many new ideas!

Chapter 6 - Signal processing for brain signals

How do we characterize and analyze brain signals? This chapter highlights best practices for brain signal processing and analysis. The first part of this chapter describes the type of information that constitutes the brain signals recorded via …