EEG

In this article, we demonstrate how a new object-based video feature leads to robust correlations with the decoded activity from EEG when subjects are watching natural videos.

In this article, we try to uncover potential biases of the CSP-based decoding of the spatial focus of auditory attention, using a multi-talker audiovisual EEG experiment.

In this paper, presented at EUSIPCO 2023, we propose a new signal processing technique to extract stimulus-following neural reponses from a group of subjects. All MATLAB code to implement the method and reproduce the experiments is available!

In this article, presented at ICASSP 2023, we present an update of the unsupervised stimulus decoder that avoids its inherent bias to the initialization.

In this article, published in Signal Processing, we present a novel sparse variable selection method for generalized Rayleigh quotient optimization and generalized eigenvalue problems, which are ubiquitous in many signal processing fields.

In this article, publlished in IEEE Journal of Biomedical and Health Informatics, we present a new time-adapative unsupervised stimulus decoder for AAD.

In this article, published in IEEE Signal Processing Magazine, we provide a broad review and a statistically grounded comparative study of EEG-based AAD algorithms and address the main signal processing challenges in this field.

In this article, presented at ICASSP 2021, we present a novel method to decode the spatial focus of auditory attention from EEG using Riemmanian geometry-based classifiers.