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A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
Yousra Bekhti, Felix Lucka, Joseph Salmon +1
Majorization-minimization (MM) is a standard iterative optimization technique which consists in minimizing a sequence of convex surrogate functionals. MM approaches have been parti…
Autoreject: Automated artifact rejection for MEG and EEG data
Mainak Jas, Denis A. Engemann, Yousra Bekhti +2
We present an automated algorithm for unified rejection and repair of bad trials in magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method capitalizes on…
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
Daniel Strohmeier, Yousra Bekhti, Jens Haueisen +1
Source imaging based on magnetoencephalography (MEG) and electroencephalography (EEG) allows for the non-invasive analysis of brain activity with high temporal and good spatial res…
Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?
Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline +1
Correlations in the signal observed via functional Magnetic Resonance Imaging (fMRI), are expected to reveal the interactions in the underlying neural populations through hemodynam…