Simon Geirnaert

Selective Auditory Attention Decoding with a Two-Node Wireless EEG Sensor Network

This paper evaluates selective auditory attention decoding using a wireless EEG sensor network, achieving 77.17% accuracy with a two-node system.

When feedback backfires: investigating neurofeedback effects in a closed-loop auditory attention decoding paradigm

This study evaluates the impact of neurofeedback on auditory attention decoding accuracy and user experience in a closed-loop system, finding that auditory feedback can degrade performance and increase cognitive load.

EEG-based Decoding of Auditory Attention to Conversations with Turn-taking Speakers

This paper evaluates auditory attention decoding in conversation-tracking scenarios, finding that accuracy is not affected by attention direction or switches, and correlates with perceived listening effort.

Synchronized EEG with two galvanically-separated miniature wireless behind-the-ear EEG sensors

This paper introduces two wireless behind-the-ear EEG sensors that synchronize data via a USB dongle, enabling improved signal processing for auditory steady-state response detection.

Temporal variation in the acoustic dynamic range is a confounding factor in EEG-based tracking of absolute auditory attention to speech

The paper investigates absolute auditory attention decoding using EEG, finding that the 0.1-1 Hz band better distinguishes attentional states than the 1-4 Hz band.

'Are you even listening?' - EEG-based decoding of absolute auditory attention to natural speech

This paper decodes absolute auditory attention using EEG features, finding that neural envelope tracking is more reliable than spectral entropy for distinguishing active listening from distractor conditions.

What are we really decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention

This study investigates biases in EEG-based spatial auditory attention decoding, finding that simple models can overfit to eye-gaze and trial-specific confounds, leading to inflated accuracy.

Time-adaptive Unsupervised Auditory Attention Decoding Using EEG-based Stimulus Reconstruction

This paper introduces a time-adaptive unsupervised method for auditory attention decoding using EEG, showing it outperforms a time-invariant supervised approach.

Fast EEG-based decoding of the directional focus of auditory attention using common spatial patterns

This paper introduces a method using filterbank common spatial patterns to decode auditory attention direction from EEG, achieving high accuracy on short signal segments and demonstrating adaptability to new subjects and limited channel setups.

EEG-based decoding and recognition of imagined music

The paper retracts due to a major error in analysis code affecting results on imagined music data.

An Interpretable Performance Metric for Auditory Attention Decoding Algorithms in a Context of Neuro-Steered Gain Control

The paper introduces an interpretable performance metric for auditory attention decoding algorithms to optimize gain control in hearing aids by resolving the trade-off between accuracy and decision time.