Signal processing and Learning Applied to Brain data

Project Information

SLAB

Grant agreement ID: 676943

DOI

10.3030/676943

Project closed

EC signature date 8 August 2016

Start date 1 September 2016

End date 31 August 2021

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 492 252,50

EU contribution

€ 1 492 252,50

Coordinated by

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (28)

Beyond Pham's algorithm for joint diagonalization

Author(s): Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Published in: ESSAN 2019 - 27th European symposium on artificial neural networks, 2019
Publisher: ESSAN

Wasserstein regularization for sparse multi-task regression

Author(s): Hicham Janati, Marco Cuturi, Alexandre Gramfort
Published in: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019
Publisher: PMLR

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals

Author(s): Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort
Published in: Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018
Publisher: Curran Associates, Inc.

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression

Author(s): Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon
Published in: Journal of Physics: Conference Series, 2017
Publisher: IOP Publishing
DOI: 10.1088/1742-6596/904/1/012006

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

Author(s): Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion
Published in: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Publisher: MIT Press

Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

Author(s): Hugo Richard, Luigi Gresele, Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin
Published in: Advances in Neural Information Processing Systems 33 (NeurIPS), 2020
Publisher: MIT Press

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

Author(s): David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A. Engemann
Published in: 2019
Publisher: Curran Associates, Inc.

Stochastic algorithms with descent guarantees for ICA

Author(s): Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis Bach
Published in: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 2019
Publisher: PMLR

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

Author(s): Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte
Published in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Publisher: IEEE
DOI: 10.1109/icassp.2019.8683291

HNPE: Leveraging Global Parameters for Neural Posterior Estimation

Author(s): Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort
Published in: Advances in Neural Information Processing Systems 34 (NeurIPS), 2021
Publisher: MIT Press

Learning step sizes for unfolded sparse coding

Author(s): Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort
Published in: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Publisher: Curran Associates, Inc.

Implicit differentiation of Lasso-type models for hyperparameter optimization

Author(s): Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Published in: Proceedings of the 37th International Conference on Machine Learning, 2020
Publisher: PMLR

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

Author(s): Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
Published in: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020
Publisher: PMLR

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

Author(s): Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
Published in: IPMI 2019 - 26th international conference on Information Processing in Medical Imaging, 2021
Publisher: Lecture Notes in Computer Science

Faster ICA Under Orthogonal Constraint

Author(s): Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Published in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Publisher: IEEE
DOI: 10.1109/icassp.2018.8461662

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

Author(s): Badeau, Roland; Bekhti, Yousra; Gramfort, Alexandre
Published in: 25th European Signal Processing Conference (EUSIPCO), Issue 5, 2017, ISSN 2076-1465
Publisher: IEEE
DOI: 10.5281/zenodo.1159734

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

Author(s): Mainak Jas, Tom Dupré la Tour, Umut Simsekli, Alexandre Gramfort
Published in: Advances in Neural Information Processing Systems 30, 2017, Page(s) 1099--1108
Publisher: Curran Associates, Inc.

Parametric estimation of spectrum driven by an exogenous signal

Author(s): Tom Dupre la Tour, Yves Grenier, Alexandre Gramfort
Published in: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, Page(s) 4301-4305, ISBN 978-1-5090-4117-6
Publisher: IEEE
DOI: 10.1109/ICASSP.2017.7952968

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Author(s): Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Published in: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, 2018, Page(s) 998--1007
Publisher: PMLR

Celer: a Fast Solver for the Lasso with Dual Extrapolation

Author(s): Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Published in: Proceedings of the 35th International Conference on Machine Learning, 2018, Page(s) 3315--3324
Publisher: PMLR

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Author(s): Massias , Mathurin; Fercoq , Olivier; Gramfort , Alexandre; Salmon , Joseph
Published in: 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Apr 2018, Lanzarote, Spain, Issue 5, 2018
Publisher: AISTATS

Driver Estimation in Non-Linear Autoregressive Models

Author(s): Tom Duprela Tour, Yves Grenier, Alexandre Gramfort
Published in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Page(s) 4519-4523, ISBN 978-1-5386-4658-8
Publisher: IEEE
DOI: 10.1109/ICASSP.2018.8462268

GAP Safe Screening Rules for Sparse-Group Lasso

Author(s): Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Published in: Advances in Neural Information Processing Systems 29, 2016, Page(s) 388--396
Publisher: Curran Associates, Inc.

Caveats with stochastic gradient and maximum likelihood based ICA for EEG

Author(s): Jair Montoya-Martínez, Jean-François Cardoso, Alexandre Gramfort
Published in: 2017, Page(s) 279-289
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-53547-0_27

Debiased Sinkhorn barycenters

Author(s): Hicham Janati, Marco Cuturi, Alexandre Gramfort
Published in: Proceedings of the 37th International Conference on Machine Learning, 2020
Publisher: PMLR

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

Author(s): Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Published in: Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Publisher: Curran Associates, Inc.

Spatio-Temporal Alignments: Optimal transport through space and time

Author(s): Hicham Janati, Marco Cuturi, Alexandre Gramfort
Published in: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020
Publisher: PMLR

Shared Independent Component Analysis for Multi-Subject Neuroimaging

Author(s): Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvärinen
Published in: Advances in Neural Information Processing Systems 34 (NeurIPS), 2020
Publisher: MIT Press

Peer reviewed articles (14)

DiCoDiLe: Distributed Convolutional Dictionary Learning

Author(s): Thomas Moreau, Alexandre Gramfort
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, ISSN 1939-3539
Publisher: IEEE
DOI: 10.1109/tpami.2020.3039215

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

Author(s): Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort
Published in: Journal of Neuroscience Methods, 2021, ISSN 0165-0270
Publisher: Elsevier BV
DOI: 10.1016/j.jneumeth.2021.109144

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

Author(s): 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
Published in: Journal of Open Source Software, 2019, ISSN 2475-9066
Publisher: The Open Journal
DOI: 10.21105/joss.01896

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

Author(s): Denis A Engemann, Oleh Kozynets, David Sabbagh, Guillaume Lemaître, Gael Varoquaux, Franziskus Liem, Alexandre Gramfort
Published in: eLife, 2019, ISSN 2050-084X
Publisher: 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

Author(s): Yousra Bekhti, Felix Lucka, Joseph Salmon, Alexandre Gramfort
Published in: Inverse Problems, Issue 34/8, 2018, Page(s) 085010, ISSN 0266-5611
Publisher: Institute of Physics Publishing
DOI: 10.1088/1361-6420/aac9b3

Gap Safe screening rules for sparsity enforcing penalties

Author(s): Ndiaye, Eugene; Fercoq, Olivier; Gramfort, Alexandre; Salmon, Joseph
Published in: Journal of Machine Learning Research, Issue 5, 2017, ISSN 1532-4435
Publisher: MIT Press

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

Author(s): Tom Dupré la Tour, Lucille Tallot, Laetitia Grabot, Valérie Doyère, Virginie van Wassenhove, Yves Grenier, Alexandre Gramfort
Published in: PLOS Computational Biology, Issue 13/12, 2017, Page(s) e1005893, ISSN 1553-7358
Publisher: PLOS Computational Biology
DOI: 10.1371/journal.pcbi.1005893

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

Author(s): 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
Published in: Scientific Data, Issue 5, 2018, Page(s) 180110, ISSN 2052-4463
Publisher: Springer Nature
DOI: 10.1038/sdata.2018.110

Faster Independent Component Analysis by Preconditioning With Hessian Approximations

Author(s): Pierre Ablin, Jean-Francois Cardoso, Alexandre Gramfort
Published in: IEEE Transactions on Signal Processing, Issue 66/15, 2018, Page(s) 4040-4049, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2018.2844203

Autoreject: Automated artifact rejection for MEG and EEG data

Author(s): Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
Published in: NeuroImage, Issue 159, 2017, Page(s) 417-429, ISSN 1053-8119
Publisher: 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

Author(s): Mainak Jas, Eric Larson, Denis A. Engemann, Jaakko Leppäkangas, Samu Taulu, Matti Hämäläinen, Alexandre Gramfort
Published in: Frontiers in Neuroscience, Issue 12, 2018, ISSN 1662-453X
Publisher: Frontiers
DOI: 10.3389/fnins.2018.00530

Dual Extrapolation for Sparse GLMs

Author(s): Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Published in: Journal of Machine Learning Research, 2019, ISSN 1532-4435
Publisher: MIT Press

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

Author(s): Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort
Published in: NeuroImage, 2020, ISSN 1053-8119
Publisher: Academic Press
DOI: 10.1016/j.neuroimage.2020.116847

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

Author(s): David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A Engemann
Published in: NeuroImage, 2020, ISSN 1053-8119
Publisher: Academic Press
DOI: 10.1016/j.neuroimage.2020.116893

Other (1)

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

Author(s): Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Published in: Workshop NIPS OPTML, 2017
Publisher: Arxiv