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brain-bzh/reve-base
Feature Extraction • 69.2M • Updated • 60 • 8 -
brain-bzh/reve-large
Feature Extraction • 0.4B • Updated • 8 • 5 -
brain-bzh/reve-positions
Feature Extraction • 1.63k • Updated • 101 • 5 -
REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Paper • 2510.21585 • Published • 5
AI & ML interests
BRAIN is a research team of Lab-STICC (CNRS UMR 6285) hosted at IMT Atlantique and part of the Mathematical and Electrical Engineering (MEE) department. The purpose of BRAIn is to investigate key questions at the crossbreed of Artificial Intelligence, Deep Learning and Signal Processing, with applications using images, sounds, text and more complex domains including neuroimaging data.
Recent Activity
BRAIN is a research team of Lab-STICC (CNRS UMR 6285) hosted at IMT Atlantique and part of the Mathematical and Electrical Engineering (MEE) department. The purpose of BRAIn is to investigate key questions at the crossbreed of Artificial Intelligence, Deep Learning and Signal Processing, with applications using images, sounds, text and more complex domains including neuroimaging data.
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brain-bzh/reve-base
Feature Extraction • 69.2M • Updated • 60 • 8 -
brain-bzh/reve-large
Feature Extraction • 0.4B • Updated • 8 • 5 -
brain-bzh/reve-positions
Feature Extraction • 1.63k • Updated • 101 • 5 -
REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Paper • 2510.21585 • Published • 5