Signal processing and Learning Applied to Brain data

Información del proyecto

SLAB

Identificador del acuerdo de subvención: 676943

DOI

10.3030/676943

Proyecto cerrado

Fecha de la firma de la CE 8 Agosto 2016

Fecha de inicio 1 Septiembre 2016

Fecha de finalización 31 Agosto 2021

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 492 252,50

Aportación de la UE

€ 1 492 252,50

Coordinado por

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (28)

Beyond Pham's algorithm for joint diagonalization

Autores: Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Publicado en: ESSAN 2019 - 27th European symposium on artificial neural networks, 2019
Editor: ESSAN

Wasserstein regularization for sparse multi-task regression

Autores: Hicham Janati, Marco Cuturi, Alexandre Gramfort
Publicado en: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019
Editor: PMLR

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals

Autores: Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort
Publicado en: Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018
Editor: Curran Associates, Inc.

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression

Autores: Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon
Publicado en: Journal of Physics: Conference Series, 2017
Editor: IOP Publishing
DOI: 10.1088/1742-6596/904/1/012006

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso

Autores: Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion
Publicado en: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Editor: MIT Press

Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

Autores: Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin
Publicado en: Advances in Neural Information Processing Systems 33 (NeurIPS), 2020
Editor: MIT Press

Manifold-regression to predict from MEG/EEG brain signals without source modeling

Autores: David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A. Engemann
Publicado en: 2019
Editor: Curran Associates, Inc.

Stochastic algorithms with descent guarantees for ICA

Autores: Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis Bach
Publicado en: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019
Editor: PMLR

A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning

Autores: Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte
Publicado en: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Editor: IEEE
DOI: 10.1109/icassp.2019.8683291

HNPE: Leveraging Global Parameters for Neural Posterior Estimation

Autores: Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort
Publicado en: Advances in Neural Information Processing Systems 34 (NeurIPS), 2021
Editor: MIT Press

Learning step sizes for unfolded sparse coding

Autores: Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort
Publicado en: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Editor: Curran Associates, Inc.

Implicit differentiation of Lasso-type models for hyperparameter optimization

Autores: Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Publicado en: Proceedings of the 37th International Conference on Machine Learning, 2020
Editor: PMLR

Support recovery and sup-norm convergence rates for sparse pivotal estimation

Autores: Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
Publicado en: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020
Editor: PMLR

Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates

Autores: Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
Publicado en: IPMI 2019 - 26th international conference on Information Processing in Medical Imaging, 2021
Editor: Lecture Notes in Computer Science

Faster ICA Under Orthogonal Constraint

Autores: Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Publicado en: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Editor: IEEE
DOI: 10.1109/icassp.2018.8461662

Hyperparameter Estimation in Maximum a Posteriori Regression Using Group Sparsity with an Application to Brain Imaging

Autores: Badeau, Roland; Bekhti, Yousra; Gramfort, Alexandre
Publicado en: 25th European Signal Processing Conference (EUSIPCO), Edición 5, 2017, ISSN 2076-1465
Editor: IEEE
DOI: 10.5281/zenodo.1159734

Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding

Autores: Mainak Jas, Tom Dupré la Tour, Umut Simsekli, Alexandre Gramfort
Publicado en: Advances in Neural Information Processing Systems 30, 2017, Página(s) 1099--1108
Editor: Curran Associates, Inc.

Parametric estimation of spectrum driven by an exogenous signal

Autores: Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort
Publicado en: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, Página(s) 4301-4305, ISBN 978-1-5090-4117-6
Editor: IEEE
DOI: 10.1109/ICASSP.2017.7952968

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Autores: Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Publicado en: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, 2018, Página(s) 998--1007
Editor: PMLR

Celer: a Fast Solver for the Lasso with Dual Extrapolation

Autores: Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Publicado en: Proceedings of the 35th International Conference on Machine Learning, 2018, Página(s) 3315--3324
Editor: PMLR

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Autores: Massias , Mathurin; Fercoq , Olivier; Gramfort , Alexandre; Salmon , Joseph
Publicado en: 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Apr 2018, Lanzarote, Spain, Edición 5, 2018
Editor: AISTATS

Driver Estimation in Non-Linear Autoregressive Models

Autores: Tom Duprela Tour, Yves Grenier, Alexandre Gramfort
Publicado en: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Página(s) 4519-4523, ISBN 978-1-5386-4658-8
Editor: IEEE
DOI: 10.1109/ICASSP.2018.8462268

GAP Safe Screening Rules for Sparse-Group Lasso

Autores: Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Publicado en: Advances in Neural Information Processing Systems 29, 2016, Página(s) 388--396
Editor: Curran Associates, Inc.

Caveats with stochastic gradient and maximum likelihood based ICA for EEG

Autores: Jair Montoya-Martínez, Jean-François Cardoso, Alexandre Gramfort
Publicado en: 2017, Página(s) 279-289
Editor: Springer International Publishing
DOI: 10.1007/978-3-319-53547-0_27

Debiased Sinkhorn barycenters

Autores: Hicham Janati, Marco Cuturi, Alexandre Gramfort
Publicado en: Proceedings of the 37th International Conference on Machine Learning, 2020
Editor: PMLR

Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso

Autores: Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Publicado en: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Editor: Curran Associates, Inc.

Spatio-Temporal Alignments: Optimal transport through space and time

Autores: Hicham Janati, Marco Cuturi, Alexandre Gramfort
Publicado en: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020
Editor: PMLR

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autores: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Publicado en: Advances in Neural Information Processing Systems 34 (NeurIPS), 2020
Editor: MIT Press

Peer reviewed articles (14)

DiCoDiLe: Distributed Convolutional Dictionary Learning

Autores: Thomas Moreau, Alexandre Gramfort
Publicado en: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, ISSN 1939-3539
Editor: IEEE
DOI: 10.1109/tpami.2020.3039215

Spectral Independent Component Analysis with noise modeling for M/EEG source separation

Autores: Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Publicado en: Journal of Neuroscience Methods, 2021, ISSN 0165-0270
Editor: Elsevier BV
DOI: 10.1016/j.jneumeth.2021.109144

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis

Autores: Appelhoff, Stefan and Sanderson, Matthew and Brooks, Teon and Vliet, Marijn van and Quentin, Romain and Holdgraf, Chris and Chaumon, Maximilien and Mikulan, Ezequiel and Tavabi, Kambiz and Höchenberger, Richard and Welke, Dominik and Brunner, Clemens and Rockhill, Alexander and Larson, Eric and Gramfort, Alexandre and Jas, Mainak
Publicado en: Journal of Open Source Software, 2019, ISSN 2475-9066
Editor: The Open Journal
DOI: 10.21105/joss.01896

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

Autores: Denis A Engemann, Oleh Kozynets, David Sabbagh, Guillaume Lemaître, Gael Varoquaux, Franziskus Liem, Alexandre Gramfort
Publicado en: eLife, 2019, ISSN 2050-084X
Editor: eLife Sciences Publications
DOI: 10.7554/elife.54055

A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging

Autores: Yousra Bekhti, Felix Lucka, Joseph Salmon, Alexandre Gramfort
Publicado en: Inverse Problems, Edición 34/8, 2018, Página(s) 085010, ISSN 0266-5611
Editor: Institute of Physics Publishing
DOI: 10.1088/1361-6420/aac9b3

Gap Safe screening rules for sparsity enforcing penalties

Autores: Ndiaye, Eugene; Fercoq, Olivier; Gramfort, Alexandre; Salmon, Joseph
Publicado en: Journal of Machine Learning Research, Edición 5, 2017, ISSN 1532-4435
Editor: MIT Press

Non-linear auto-regressive models for cross-frequency coupling in neural time series

Autores: Tom Dupré la Tour, Lucille Tallot, Laetitia Grabot, Valérie Doyère, Virginie van Wassenhove, Yves Grenier, Alexandre Gramfort
Publicado en: PLOS Computational Biology, Edición 13/12, 2017, Página(s) e1005893, ISSN 1553-7358
Editor: PLOS Computational Biology
DOI: 10.1371/journal.pcbi.1005893

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

Autores: Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L. Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy T. Moreau, Robert Oostenveld, Jan-Mathijs Schoffelen, Francois Tadel, Joseph Wexler, Sylvain Baillet
Publicado en: Scientific Data, Edición 5, 2018, Página(s) 180110, ISSN 2052-4463
Editor: Springer Nature
DOI: 10.1038/sdata.2018.110

Faster Independent Component Analysis by Preconditioning With Hessian Approximations

Autores: Pierre Ablin, Jean-Francois Cardoso, Alexandre Gramfort
Publicado en: IEEE Transactions on Signal Processing, Edición 66/15, 2018, Página(s) 4040-4049, ISSN 1053-587X
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2018.2844203

Autoreject: Automated artifact rejection for MEG and EEG data

Autores: Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
Publicado en: NeuroImage, Edición 159, 2017, Página(s) 417-429, ISSN 1053-8119
Editor: Academic Press
DOI: 10.1016/j.neuroimage.2017.06.030

A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices

Autores: Mainak Jas, Eric Larson, Denis A. Engemann, Jaakko Leppäkangas, Samu Taulu, Matti Hämäläinen, Alexandre Gramfort
Publicado en: Frontiers in Neuroscience, Edición 12, 2018, ISSN 1662-453X
Editor: Frontiers
DOI: 10.3389/fnins.2018.00530

Dual Extrapolation for Sparse GLMs

Autores: Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Publicado en: Journal of Machine Learning Research, 2019, ISSN 1532-4435
Editor: MIT Press

Multi-subject MEG/EEG source imaging with sparse multi-task regression

Autores: Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
Publicado en: NeuroImage, 2020, ISSN 1053-8119
Editor: Academic Press
DOI: 10.1016/j.neuroimage.2020.116847

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states

Autores: David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A Engemann
Publicado en: NeuroImage, 2020, ISSN 1053-8119
Editor: Academic Press
DOI: 10.1016/j.neuroimage.2020.116893

Other (1)

From safe screening rules to working sets for faster Lasso-type solvers

Autores: Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Publicado en: Workshop NIPS OPTML, 2017
Editor: Arxiv