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Alexandre Gramfort

Showing results (21-30 of 73) with videos related to

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IEEE Transactions on Medical Imaging|February 15, 2011
Total variation regularization for fMRI-based prediction of behaviorVincent Michel, Alexandre Gramfort, Gaël Varoquaux, et al.
Neuroimage|May 22, 2020
Multi-subject MEG/EEG source imaging with sparse multi-task regressionHicham Janati, Thomas Bazeille, Bertrand Thirion, et al.
Neuroimage|December 30, 2022
Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access datasetLindsey Power, Cédric Allain, Thomas Moreau, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic mapsAlexandre Gramfort, Benoit Cottereau, Maureen Clerc, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Multi-subject dictionary learning to segment an atlas of brain spontaneous activityGael Varoquaux, Alexandre Gramfort, Fabian Pedregosa, et al.
Neuroimage|February 26, 2014
Supramodal processing optimizes visual perceptual learning and plasticityNicolas Zilber, Philippe Ciuciu, Alexandre Gramfort, et al.
Journal of Neural Engineering|November 12, 2020
Uncovering the structure of clinical EEG signals with self-supervised learningHubert Banville, Omar Chehab, Aapo Hyvärinen, et al.
Neuroimage|June 25, 2017
Autoreject: Automated artifact rejection for MEG and EEG dataMainak Jas, Denis A Engemann, Yousra Bekhti, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 25, 2013
Automatic semantic facilitation in anterior temporal cortex revealed through multimodal neuroimagingEllen F Lau, Alexandre Gramfort, Matti S Hämäläinen, et al.
Plos One|January 30, 2014
Two distinct dynamic modes subtend the detection of unexpected soundsJean-Rémi King, Alexandre Gramfort, Aaron Schurger, et al.
Pageof 8

Showing results (21-30 of 73) with videos related to

Sort By:
Pageof 8
IEEE Transactions on Medical Imaging|February 15, 2011
Total variation regularization for fMRI-based prediction of behaviorVincent Michel, Alexandre Gramfort, Gaël Varoquaux, et al.
Neuroimage|May 22, 2020
Multi-subject MEG/EEG source imaging with sparse multi-task regressionHicham Janati, Thomas Bazeille, Bertrand Thirion, et al.
Neuroimage|December 30, 2022
Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access datasetLindsey Power, Cédric Allain, Thomas Moreau, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic mapsAlexandre Gramfort, Benoit Cottereau, Maureen Clerc, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Multi-subject dictionary learning to segment an atlas of brain spontaneous activityGael Varoquaux, Alexandre Gramfort, Fabian Pedregosa, et al.
Neuroimage|February 26, 2014
Supramodal processing optimizes visual perceptual learning and plasticityNicolas Zilber, Philippe Ciuciu, Alexandre Gramfort, et al.
Journal of Neural Engineering|November 12, 2020
Uncovering the structure of clinical EEG signals with self-supervised learningHubert Banville, Omar Chehab, Aapo Hyvärinen, et al.
Neuroimage|June 25, 2017
Autoreject: Automated artifact rejection for MEG and EEG dataMainak Jas, Denis A Engemann, Yousra Bekhti, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 25, 2013
Automatic semantic facilitation in anterior temporal cortex revealed through multimodal neuroimagingEllen F Lau, Alexandre Gramfort, Matti S Hämäläinen, et al.
Plos One|January 30, 2014
Two distinct dynamic modes subtend the detection of unexpected soundsJean-Rémi King, Alexandre Gramfort, Aaron Schurger, et al.
Pageof 8