Alexandre Gramfort

Latest

• Uncovering the structure of clinical EEG signals with self-supervised learning
• Combining magnetoencephalography with MRI enhances learning of surrogate-biomarkers
• Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
• Manifold-regression to predict from MEG/EEG brain signals without source modeling
• Encoding and Decoding Neuronal Dynamics: Methodological Framework to Uncover the Algorithms of Cognition
• A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices
• Autoreject: Automated artifact rejection for MEG and EEG data
• Automated rejection and repair of bad trials in MEG/EEG
• Automated measurement and prediction of consciousness in vegetative and minimally conscious patients
• Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals
• Mind the noise covariance when localizing brain sources with M/EEG
• MEG and EEG data analysis with MNE-Python
• MNE software for processing MEG and EEG data