Alexandre Gramfort

Affiliations: 
IDS École Normale Supérieure de Télécommunications - ENST-Paris 
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"Alexandre Gramfort"
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Pernet C, Garrido MI, Gramfort A, et al. (2020) Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research. Nature Neuroscience
Sabbagh D, Ablin P, Varoquaux G, et al. (2020) Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. Neuroimage. 222: 116893
Janati H, Bazeille T, Thirion B, et al. (2020) Multi-subject MEG/EEG source imaging with sparse multi-task regression. Neuroimage. 220: 116847
Engemann DA, Kozynets O, Sabbagh D, et al. (2020) Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers. Elife. 9
Jaiswal A, Nenonen J, Stenroos M, et al. (2020) Comparison of beamformer implementations for MEG source localization. Neuroimage. 116797
Appelhoff S, Sanderson M, Brooks TL, et al. (2019) MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software. 4
Roy Y, Banville H, Albuquerque I, et al. (2019) Deep learning-based electroencephalography analysis: a systematic review. Journal of Neural Engineering
Grabot L, Kononowicz TW, Dupré la Tour T, et al. (2019) The strength of alpha-beta oscillatory coupling predicts motor timing precision. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Appelhoff S, Sanderson M, Brooks T, et al. (2019) MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis Journal of Open Source Software. 4: 1896
Kernbach JM, Yeo BTT, Smallwood J, et al. (2018) Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. Proceedings of the National Academy of Sciences of the United States of America
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