most citedDetecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification

15 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2025

Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding

Dylan Sechet, Matthieu Kowalski, Samy Mokhtari +1

This paper revisits the CHAMPAGNE algorithm within the Sparse Bayesian Learning (SBL) framework and establishes its connection to reweighted sparse coding. We demonstrate that the…

math.CA2025

Stability estimates for adaptive focused time-frequency transforms

Pierre Warion, Bruno Torrésani

This contribution is a follow-up of a recent paper by the authors on adaptive, non-linear time-frequency transforms, focusing on the STFT based transforms. The adaptivity is provid…

q-bio.NC2015★ 15 cited

Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification

J Spinnato, M-C Roubaud, B Burle +1

Objective. The main goal of this work is to develop a model for multi-sensor signals such as MEG or EEG signals, that accounts for the inter-trial variability, suitable for corresp…