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Alexandre Gramfort

Showing results (41-50 of 73) with videos related to

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Frontiers in Neuroscience|August 22, 2018
A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good PracticesMainak Jas, Eric Larson, Denis A Engemann, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 23, 2019
The Strength of Alpha-Beta Oscillatory Coupling Predicts Motor Timing PrecisionLaetitia Grabot, Tadeusz W Kononowicz, Tom Dupré la Tour, et al.
Neuroimage|July 29, 2022
A reusable benchmark of brain-age prediction from M/EEG resting-state signalsDenis A Engemann, Apolline Mellot, Richard Höchenberger, et al.
Plos Computational Biology|December 12, 2017
Non-linear auto-regressive models for cross-frequency coupling in neural time seriesTom Dupré la Tour, Lucille Tallot, Laetitia Grabot, et al.
Neuroimage|December 10, 2021
A unified view on beamformers for M/EEG source reconstructionBritta U Westner, Sarang S Dalal, Alexandre Gramfort, et al.
Iscience|January 5, 2026
Alpha power indexes working memory load for durationsSophie K Herbst, Izem Mangione, Charbel-Raphaël Segerie, et al.
Journal of Open Source Software|August 22, 2022
Intracranial Electrode Location and Analysis in MNE-PythonAlexander P Rockhill, Eric Larson, Brittany Stedelin, et al.
Anaesthesia, Critical Care & Pain Medicine|October 2, 2025
Alpha-delta ratio as a robust marker of the impact of cerebral blood flow on EEG signal during general anesthesiaElsa Manquat, Fabrice Vallée, Etienne Gayat, et al.
Neuroimage|October 29, 2013
MNE software for processing MEG and EEG dataAlexandre Gramfort, Martin Luessi, Eric Larson, et al.
Frontiers in Neuroinformatics|March 7, 2014
Machine learning for neuroimaging with scikit-learnAlexandre Abraham, Fabian Pedregosa, Michael Eickenberg, et al.
Pageof 8

Showing results (41-50 of 73) with videos related to

Sort By:
Pageof 8
Frontiers in Neuroscience|August 22, 2018
A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good PracticesMainak Jas, Eric Larson, Denis A Engemann, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 23, 2019
The Strength of Alpha-Beta Oscillatory Coupling Predicts Motor Timing PrecisionLaetitia Grabot, Tadeusz W Kononowicz, Tom Dupré la Tour, et al.
Neuroimage|July 29, 2022
A reusable benchmark of brain-age prediction from M/EEG resting-state signalsDenis A Engemann, Apolline Mellot, Richard Höchenberger, et al.
Plos Computational Biology|December 12, 2017
Non-linear auto-regressive models for cross-frequency coupling in neural time seriesTom Dupré la Tour, Lucille Tallot, Laetitia Grabot, et al.
Neuroimage|December 10, 2021
A unified view on beamformers for M/EEG source reconstructionBritta U Westner, Sarang S Dalal, Alexandre Gramfort, et al.
Iscience|January 5, 2026
Alpha power indexes working memory load for durationsSophie K Herbst, Izem Mangione, Charbel-Raphaël Segerie, et al.
Journal of Open Source Software|August 22, 2022
Intracranial Electrode Location and Analysis in MNE-PythonAlexander P Rockhill, Eric Larson, Brittany Stedelin, et al.
Anaesthesia, Critical Care & Pain Medicine|October 2, 2025
Alpha-delta ratio as a robust marker of the impact of cerebral blood flow on EEG signal during general anesthesiaElsa Manquat, Fabrice Vallée, Etienne Gayat, et al.
Neuroimage|October 29, 2013
MNE software for processing MEG and EEG dataAlexandre Gramfort, Martin Luessi, Eric Larson, et al.
Frontiers in Neuroinformatics|March 7, 2014
Machine learning for neuroimaging with scikit-learnAlexandre Abraham, Fabian Pedregosa, Michael Eickenberg, et al.
Pageof 8