21 citations · 35 across the 9 of their papers we have counts for
Showing eess.SPShow all
2 papers · 1 filter
eess.SP2020★ 21 cited
Spectral independent component analysis with noise modeling for M/EEG source separation
Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Background: Independent Component Analysis (ICA) is a widespread tool for exploration and denoising of electroencephalography (EEG) or magnetoencephalography (MEG) signals. In its…
eess.SP2019
Manifold-regression to predict from MEG/EEG brain signals without source modeling
David Sabbagh, Pierre Ablin, Gael Varoquaux +2
Magnetoencephalography and electroencephalography (M/EEG) can reveal neuronal dynamics non-invasively in real-time and are therefore appreciated methods in medicine and neuroscienc…