no code implementations • 25 Jan 2025 • Hubert Banville, Yohann Benchetrit, Stéphane d'Ascoli, Jérémy Rapin, Jean-Rémi King
Overall, these findings delineate the path most suitable to scale the decoding of images from non-invasive brain recordings.
no code implementations • 11 Dec 2024 • Stéphane d'Ascoli, Corentin Bel, Jérémy Rapin, Hubert Banville, Yohann Benchetrit, Christophe Pallier, Jean-Rémi King
To tackle this issue, we introduce a novel deep learning pipeline to decode individual words from non-invasive electro- (EEG) and magneto-encephalography (MEG) signals.
no code implementations • 11 Dec 2023 • Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Hubert Banville, Jean-Rémi King
Deep learning is leading to major advances in the realm of brain decoding from functional Magnetic Resonance Imaging (fMRI).
no code implementations • 18 Oct 2023 • Yohann Benchetrit, Hubert Banville, Jean-Rémi King
In the past five years, the use of generative and foundational AI systems has greatly improved the decoding of brain activity.
1 code implementation • 27 May 2021 • Hubert Banville, Sean U. N. Wood, Chris Aimone, Denis-Alexander Engemann, Alexandre Gramfort
Building machine learning models using EEG recorded outside of the laboratory setting requires methods robust to noisy data and randomly missing channels.
2 code implementations • 31 Jul 2020 • Hubert Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort
Our results suggest that SSL may pave the way to a wider use of deep learning models on EEG data.
1 code implementation • 13 Nov 2019 • Hubert Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort
The supervised learning paradigm is limited by the cost - and sometimes the impracticality - of data collection and labeling in multiple domains.
3 code implementations • 16 Jan 2019 • Yannick Roy, Hubert Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert
To help the field progress, we provide a list of recommendations for future studies and we make our summary table of DL and EEG papers available and invite the community to contribute.