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Career

· Postdoc researcher, UC Berkeley2019–

Publications (21)

Non-linear auto-regressive models for cross-frequency coupling in neural time series
bioRxiv · 2017
56
cited
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
Neural Information Processing Systems · 2022
48
cited
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
Neural Information Processing Systems · 2017
47
cited
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Neural Information Processing Systems · 2018
46
cited
The Strength of Alpha–Beta Oscillatory Coupling Predicts Motor Timing Precision
Journal of Neuroscience · 2019
34
cited
A finer mapping of convolutional neural network layers to the visual cortex
2021
9
cited
Model connectivity: leveraging the power of encoding models to overcome the limitations of functional connectivity
bioRxiv · 2023
8
cited
Parametric estimation of spectrum driven by an exogenous signal
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2017
4
cited
scikit-learn/scikit-learn: scikit-learn 0.23.2
2020
4
cited
Oscillatory multiplexing indexes precision
bioRxiv · 2017
3
cited
scikit-learn/scikit-learn: scikit-learn 0.23.1
2020
3
cited
scikit-learn/scikit-learn: scikit-learn 0.24.1
2021
2
cited
scikit-learn/scikit-learn: scikit-learn 0.24.2
2021
2
cited
Driver Estimation in Non-Linear Autoregressive Models
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2018
1
cited
Nonlinear models for neurophysiological time series
2018
1
cited
scikit-learn/scikit-learn: Scikit-learn 0.22.1
2020
1
cited
Dynamic, naturalistic faces embedded in a narrative elicit responses in the distributed face processing system
Journal of Vision · 2022
Long-term recordings from area V4 neurons and an accurately-predicting deep convolutional energy model reveal spatial, chromatic and temporal tuning properties under naturalistic conditions
Journal of Vision · 2022
Nonlinear models for neurophysiological time series. (Modèles non linéaires pour les séries temporelles neurophysiologiques)
2018
Parametric models of phase-amplitude coupling in neural time series
2017
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