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Alexandre Gramfort

Showing results (1-10 of 73) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|November 19, 2020
DiCoDiLe: Distributed Convolutional Dictionary LearningThomas Moreau, Alexandre Gramfort
Neuroimage|December 27, 2014
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signalsDenis A Engemann, Alexandre Gramfort
Physics in Medicine and Biology|March 17, 2012
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methodsAlexandre Gramfort, Matthieu Kowalski, Matti Hämäläinen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Sparse DSI: learning DSI structure for denoising and fast imagingAlexandre Gramfort, Cyril Poupon, Maxime Descoteaux
IEEE Transactions on Bio-Medical Engineering|February 10, 2010
Graph-based variability estimation in single-trial event-related neural responsesAlexandre Gramfort, Renaud Keriven, Maureen Clerc
Neuroimage|February 18, 2014
Encoding of event timing in the phase of neural oscillationsAnne Kösem, Alexandre Gramfort, Virginie van Wassenhove
Journal of Neuroscience Methods|March 27, 2021
Spectral Independent Component Analysis with noise modeling for M/EEG source separationPierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Scientific Reports|September 29, 2022
Deep language algorithms predict semantic comprehension from brain activityCharlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
Nature Human Behaviour|March 2, 2023
Evidence of a predictive coding hierarchy in the human brain listening to speechCharlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
Journal of Neural Engineering|November 11, 2022
Data augmentation for learning predictive models on EEG: a systematic comparisonCédric Rommel, Joseph Paillard, Thomas Moreau, et al.
Pageof 8

Showing results (1-10 of 73) with videos related to

Sort By:
Pageof 8
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 19, 2020
DiCoDiLe: Distributed Convolutional Dictionary LearningThomas Moreau, Alexandre Gramfort
Neuroimage|December 27, 2014
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signalsDenis A Engemann, Alexandre Gramfort
Physics in Medicine and Biology|March 17, 2012
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methodsAlexandre Gramfort, Matthieu Kowalski, Matti Hämäläinen
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Sparse DSI: learning DSI structure for denoising and fast imagingAlexandre Gramfort, Cyril Poupon, Maxime Descoteaux
IEEE Transactions on Bio-Medical Engineering|February 10, 2010
Graph-based variability estimation in single-trial event-related neural responsesAlexandre Gramfort, Renaud Keriven, Maureen Clerc
Neuroimage|February 18, 2014
Encoding of event timing in the phase of neural oscillationsAnne Kösem, Alexandre Gramfort, Virginie van Wassenhove
Journal of Neuroscience Methods|March 27, 2021
Spectral Independent Component Analysis with noise modeling for M/EEG source separationPierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Scientific Reports|September 29, 2022
Deep language algorithms predict semantic comprehension from brain activityCharlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
Nature Human Behaviour|March 2, 2023
Evidence of a predictive coding hierarchy in the human brain listening to speechCharlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
Journal of Neural Engineering|November 11, 2022
Data augmentation for learning predictive models on EEG: a systematic comparisonCédric Rommel, Joseph Paillard, Thomas Moreau, et al.
Pageof 8