35 citations · 143 across the 27 of their papers we have counts for
4 papers · 1 filter
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
Sylvain Chevallier, Igor Carrara, Bruno Aristimunha +6
Objective. This study conduct an extensive Brain-computer interfaces (BCI) reproducibility analysis on open electroencephalography datasets, aiming to assess existing solutions and…
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain, Alexandre Gramfort, Thomas Moreau
The quantitative analysis of non-invasive electrophysiology signals from electroencephalography (EEG) and magnetoencephalography (MEG) boils down to the identification of temporal…
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding
Clément Lalanne, Maxence Rateaux, Laurent Oudre +2
The analysis of the Nystagmus waveforms from eye-tracking records is crucial for the clinicial interpretation of this pathological movement. A major issue to automatize this analys…
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
Tom Dupré La Tour, Thomas Moreau, Mainak Jas +1
Frequency-specific patterns of neural activity are traditionally interpreted as sustained rhythmic oscillations, and related to cognitive mechanisms such as attention, high level v…