Signal processing and Learning Applied to Brain data

Informacje na temat projektu

SLAB

Identyfikator umowy o grant: 676943

DOI

10.3030/676943

Projekt został zamknięty

Data podpisania przez KE 8 Sierpnia 2016

Data rozpoczęcia 1 Września 2016

Data zakończenia 31 Sierpnia 2021

Finansowanie w ramach

• EXCELLENT SCIENCE - European Research Council (ERC)

Koszt całkowity

€ 1 492 252,50

Wkład UE

€ 1 492 252,50

Koordynowany przez

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Publikacje

Conference proceedings (28)

Beyond Pham's algorithm for joint diagonalization

Autorzy: Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Opublikowane w: ESSAN 2019 - 27th European symposium on artificial neural networks, 2019
Wydawca: ESSAN

Wasserstein regularization for sparse multi-task regression

Autorzy: Hicham Janati, Marco Cuturi, Alexandre Gramfort
Opublikowane w: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019
Wydawca: PMLR

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals

Autorzy: Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort
Opublikowane w: Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018
Wydawca: Curran Associates, Inc.

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression

Autorzy: Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon
Opublikowane w: Journal of Physics: Conference Series, 2017
Wydawca: IOP Publishing
DOI: 10.1088/1742-6596/904/1/012006

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

Autorzy: Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion
Opublikowane w: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Wydawca: MIT Press

Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

Autorzy: Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin
Opublikowane w: Advances in Neural Information Processing Systems 33 (NeurIPS), 2020
Wydawca: MIT Press

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

Autorzy: David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A. Engemann
Opublikowane w: 2019
Wydawca: Curran Associates, Inc.

Stochastic algorithms with descent guarantees for ICA

Autorzy: Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis Bach
Opublikowane w: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019
Wydawca: PMLR

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

Autorzy: Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte
Opublikowane w: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Wydawca: IEEE
DOI: 10.1109/icassp.2019.8683291

HNPE: Leveraging Global Parameters for Neural Posterior Estimation

Autorzy: Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort
Opublikowane w: Advances in Neural Information Processing Systems 34 (NeurIPS), 2021
Wydawca: MIT Press

Learning step sizes for unfolded sparse coding

Autorzy: Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort
Opublikowane w: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Wydawca: Curran Associates, Inc.

Implicit differentiation of Lasso-type models for hyperparameter optimization

Autorzy: Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Proceedings of the 37th International Conference on Machine Learning, 2020
Wydawca: PMLR

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

Autorzy: Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020
Wydawca: PMLR

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

Autorzy: Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
Opublikowane w: IPMI 2019 - 26th international conference on Information Processing in Medical Imaging, 2021
Wydawca: Lecture Notes in Computer Science

Faster ICA Under Orthogonal Constraint

Autorzy: Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Opublikowane w: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Wydawca: IEEE
DOI: 10.1109/icassp.2018.8461662

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

Autorzy: Badeau, Roland; Bekhti, Yousra; Gramfort, Alexandre
Opublikowane w: 25th European Signal Processing Conference (EUSIPCO), Numer 5, 2017, ISSN 2076-1465
Wydawca: IEEE
DOI: 10.5281/zenodo.1159734

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

Autorzy: Mainak Jas, Tom Dupré la Tour, Umut Simsekli, Alexandre Gramfort
Opublikowane w: Advances in Neural Information Processing Systems 30, 2017, Strona(/y) 1099--1108
Wydawca: Curran Associates, Inc.

Parametric estimation of spectrum driven by an exogenous signal

Autorzy: Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort
Opublikowane w: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, Strona(/y) 4301-4305, ISBN 978-1-5090-4117-6
Wydawca: IEEE
DOI: 10.1109/ICASSP.2017.7952968

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Autorzy: Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, 2018, Strona(/y) 998--1007
Wydawca: PMLR

Celer: a Fast Solver for the Lasso with Dual Extrapolation

Autorzy: Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Proceedings of the 35th International Conference on Machine Learning, 2018, Strona(/y) 3315--3324
Wydawca: PMLR

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Autorzy: Massias , Mathurin; Fercoq , Olivier; Gramfort , Alexandre; Salmon , Joseph
Opublikowane w: 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Apr 2018, Lanzarote, Spain, Numer 5, 2018
Wydawca: AISTATS

Driver Estimation in Non-Linear Autoregressive Models

Autorzy: Tom Duprela Tour, Yves Grenier, Alexandre Gramfort
Opublikowane w: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Strona(/y) 4519-4523, ISBN 978-1-5386-4658-8
Wydawca: IEEE
DOI: 10.1109/ICASSP.2018.8462268

GAP Safe Screening Rules for Sparse-Group Lasso

Autorzy: Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Advances in Neural Information Processing Systems 29, 2016, Strona(/y) 388--396
Wydawca: Curran Associates, Inc.

Caveats with stochastic gradient and maximum likelihood based ICA for EEG

Autorzy: Jair Montoya-Martínez, Jean-François Cardoso, Alexandre Gramfort
Opublikowane w: 2017, Strona(/y) 279-289
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-53547-0_27

Debiased Sinkhorn barycenters

Autorzy: Hicham Janati, Marco Cuturi, Alexandre Gramfort
Opublikowane w: Proceedings of the 37th International Conference on Machine Learning, 2020
Wydawca: PMLR

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

Autorzy: Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Wydawca: Curran Associates, Inc.

Spatio-Temporal Alignments: Optimal transport through space and time

Autorzy: Hicham Janati, Marco Cuturi, Alexandre Gramfort
Opublikowane w: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020
Wydawca: PMLR

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Autorzy: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Opublikowane w: Advances in Neural Information Processing Systems 34 (NeurIPS), 2020
Wydawca: MIT Press

Peer reviewed articles (14)

DiCoDiLe: Distributed Convolutional Dictionary Learning

Autorzy: Thomas Moreau, Alexandre Gramfort
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, ISSN 1939-3539
Wydawca: IEEE
DOI: 10.1109/tpami.2020.3039215

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

Autorzy: Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Opublikowane w: Journal of Neuroscience Methods, 2021, ISSN 0165-0270
Wydawca: Elsevier BV
DOI: 10.1016/j.jneumeth.2021.109144

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

Autorzy: 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
Opublikowane w: Journal of Open Source Software, 2019, ISSN 2475-9066
Wydawca: The Open Journal
DOI: 10.21105/joss.01896

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

Autorzy: Denis A Engemann, Oleh Kozynets, David Sabbagh, Guillaume Lemaître, Gael Varoquaux, Franziskus Liem, Alexandre Gramfort
Opublikowane w: eLife, 2019, ISSN 2050-084X
Wydawca: 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

Autorzy: Yousra Bekhti, Felix Lucka, Joseph Salmon, Alexandre Gramfort
Opublikowane w: Inverse Problems, Numer 34/8, 2018, Strona(/y) 085010, ISSN 0266-5611
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6420/aac9b3

Gap Safe screening rules for sparsity enforcing penalties

Autorzy: Ndiaye, Eugene; Fercoq, Olivier; Gramfort, Alexandre; Salmon, Joseph
Opublikowane w: Journal of Machine Learning Research, Numer 5, 2017, ISSN 1532-4435
Wydawca: MIT Press

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

Autorzy: Tom Dupré la Tour, Lucille Tallot, Laetitia Grabot, Valérie Doyère, Virginie van Wassenhove, Yves Grenier, Alexandre Gramfort
Opublikowane w: PLOS Computational Biology, Numer 13/12, 2017, Strona(/y) e1005893, ISSN 1553-7358
Wydawca: PLOS Computational Biology
DOI: 10.1371/journal.pcbi.1005893

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

Autorzy: 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
Opublikowane w: Scientific Data, Numer 5, 2018, Strona(/y) 180110, ISSN 2052-4463
Wydawca: Springer Nature
DOI: 10.1038/sdata.2018.110

Faster Independent Component Analysis by Preconditioning With Hessian Approximations

Autorzy: Pierre Ablin, Jean-Francois Cardoso, Alexandre Gramfort
Opublikowane w: IEEE Transactions on Signal Processing, Numer 66/15, 2018, Strona(/y) 4040-4049, ISSN 1053-587X
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2018.2844203

Autoreject: Automated artifact rejection for MEG and EEG data

Autorzy: Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
Opublikowane w: NeuroImage, Numer 159, 2017, Strona(/y) 417-429, ISSN 1053-8119
Wydawca: 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

Autorzy: Mainak Jas, Eric Larson, Denis A. Engemann, Jaakko Leppäkangas, Samu Taulu, Matti Hämäläinen, Alexandre Gramfort
Opublikowane w: Frontiers in Neuroscience, Numer 12, 2018, ISSN 1662-453X
Wydawca: Frontiers
DOI: 10.3389/fnins.2018.00530

Dual Extrapolation for Sparse GLMs

Autorzy: Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Journal of Machine Learning Research, 2019, ISSN 1532-4435
Wydawca: MIT Press

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

Autorzy: Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
Opublikowane w: NeuroImage, 2020, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.116847

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

Autorzy: David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A Engemann
Opublikowane w: NeuroImage, 2020, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.116893

Other (1)

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

Autorzy: Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Opublikowane w: Workshop NIPS OPTML, 2017
Wydawca: Arxiv