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Tom Dupré la Tour
Tom Dupré la Tour
Verified email at berkeley.edu - Homepage
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Cited by
Year
Non-linear auto-regressive models for cross-frequency coupling in neural time series
T Dupré la Tour, L Tallot, L Grabot, V Doyère, V Van Wassenhove, ...
PLoS computational biology 13 (12), e1005893, 2017
48*2017
Learning the morphology of brain signals using alpha-stable convolutional sparse coding
M Jas*, T Dupré la Tour*, U Simsekli, A Gramfort
Advances in Neural Information Processing Systems (NeurIPS), 1099-1108, 2017
462017
Multivariate convolutional sparse coding for electromagnetic brain signals
T Dupré la Tour*, T Moreau*, M Jas, A Gramfort
Advances in Neural Information Processing Systems (NeurIPS), 3292-3302, 2018
382018
The strength of alpha-beta oscillatory coupling predicts motor timing precision
L Grabot, TW Kononowicz, T Dupré la Tour, A Gramfort, V Doyère, ...
Journal of Neuroscience, 2473-18, 2019
17*2019
scikit-learn/scikit-learn: Scikit-learn 0.22. 1
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 2020
72020
Non-linear models for neurophysiological time series
T Dupré la Tour
Université Paris-Saclay, 2018
5*2018
A finer mapping of convolutional neural network layers to the visual cortex
T Dupré la Tour, M Lu, M Eickenberg, JL Gallant
NeurIPS workshop SVRHM, 2021
4*2021
Parametric estimation of spectrum driven by an exogenous signal
T Dupré la Tour, Y Grenier, A Gramfort
42nd IEEE International Conference on Acoustics, Speech and Signal …, 2017
42017
Driver estimation in non-linear autoregressive models
T Dupré la Tour, Y Grenier, A Gramfort
43nd IEEE International Conference on Acoustics, Speech and Signal …, 2018
32018
Feature-space selection with banded ridge regression
T Dupré la Tour, M Eickenberg, JL Gallant
bioRxiv, 2022
22022
Gallant Lab Natural Short Clips 3T fMRI Data
AG Huth, S Nishimoto, AT Vu, T Dupré la Tour, JL Gallant
12022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PABB Charlier, M Dagréou, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
2022
Pymoten: scientific python package for computing motion energy features from video
NE Anwar O., F Deniz, T Dupré la Tour, M Visconti di Oleggio Castello, ...
Zenodo. https://zenodo.org/record/6349625, 2022
2022
Parametric models of phase-amplitude coupling in neural time series
T Dupré la Tour, Y Grenier, A Gramfort
International Biomedical and Astronomical Signal Processing (BASP) Frontiers …, 2017
2017
scikit-learn/scikit-learn: Scikit-learn 0.22. 2. post1
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 0
scikit-learn/scikit-learn: scikit-learn 1.1. 1
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 0
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