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Tom Dupré la Tour
Tom Dupré la Tour
OpenAI
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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
62*2017
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
572018
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
572017
Feature-space selection with banded ridge regression
T Dupré la Tour, M Eickenberg, A Nunez-Elizalde, JL Gallant
NeuroImage 264, 119728, 2022
462022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PA Charlier, M Dagréou, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
332022
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
282019
Semantic representations during language comprehension are affected by context
F Deniz, C Tseng, L Wehbe, T Dupré la Tour, JL Gallant
Journal of Neuroscience, 2023
182023
scikit-learn/scikit-learn: Scikit-learn 0.22. 1
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 2020
142020
A finer mapping of convolutional neural network layers to the visual cortex
T Dupré la Tour, M Lu, M Eickenberg, JL Gallant
Advances in Neural Information Processing Systems (NeurIPS), SVRHM Workshop, 2021
9*2021
The cortical representation of language timescales is shared between reading and listening
C Chen, T Dupré la Tour, J Gallant, D Klein, F Deniz
Communications Biology, 2024
5*2024
scikit-learn-contrib/skope-rules v1. 0.1
N Goix, V Birodkar, F Gardin, J Schertzer, H Jeong, M Kumar, A Gramfort, ...
Archived software repository at https://doi. org/10.5281/zenodo 4316671, 2020
52020
Scaling and evaluating sparse autoencoders
L Gao, T Dupré la Tour, H Tillman, G Goh, R Troll, A Radford, I Sutskever, ...
arXiv preprint arXiv:2406.04093, 2024
42024
scikit-learn/scikit-learn: scikit-learn 1.0. 1
O Grisel, A Mueller, A Gramfort, G Louppe, P Prettenhofer, M Blondel, ...
Zenodo, 2022
42022
Gallant Lab Natural Short Clips 3T fMRI Data
AG Huth, S Nishimoto, AT Vu, T Dupré la Tour, JL Gallant
42022
Non-linear models for neurophysiological time series
T Dupré la Tour
Université Paris-Saclay, 2018
4*2018
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
32017
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
22018
Model connectivity: leveraging the power of encoding models to overcome the limitations of functional connectivity
EX Meschke, MVO Castello, TD Tour, JL Gallant
bioRxiv, 2023.07. 17.549356, 2023
12023
The Voxelwise Modeling framework: a tutorial introduction to fitting encoding models to fMRI data
T Dupré la Tour, M Visconti di Oleggio Castello, JL Gallant
PsyArxiv, 2024
2024
Dynamic, naturalistic faces embedded in a narrative elicit responses in the distributed face processing system
V Chauhan, R Philip, MV di Oleggio Castello, G Jiahui, M Feilong, ...
Journal of Vision 22 (14), 4386-4386, 2022
2022
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