Alexander Bertrand

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.

Effects of speaker and listener sex on auditory attention decoding performance

This study examines how speaker and listener sex affect auditory attention decoding performance using EEG and EOG measurements in young adults.

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.

A wireless, scalable and modular EEG sensor network platform for unobtrusive brain recordings

This paper presents a wireless EEG sensor network platform that enables flexible, discreet, and robust multi-channel EEG recordings with reduced motion artefacts.

Advancing EEG Biosensing: Novel Scalable Production of Platinum-Silicon Microneedles

This paper develops scalable platinum-silicon microneedles for EEG biosensing, showing they match traditional electrodes in signal quality while improving comfort and ease of use.

'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.

Neuronal tuning and population representations of shape and category in human visual cortex.

This study investigates neuronal tuning for shape and category in human visual cortex using spiking activity recordings, finding shape-based representations with category-like encoding and interactions between shape and category tuning.

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.

EEG-based detection of the locus of auditory attention with convolutional neural networks

This study uses convolutional neural networks to detect auditory attention locus (left/right) from EEG signals in multi-speaker scenarios, achieving 81% median accuracy within 1-2 seconds.

Effect of number and placement of EEG electrodes onmeasurement of neural tracking of speech

The paper evaluates how electrode number and placement affect neural speech tracking in EEG, finding optimal configurations for both subject-specific and subject-independent setups.

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.

SHYBRID: A graphical tool for generating hybrid ground-truth spiking data for evaluating spike sorting performance

SHYBRID generates hybrid ground-truth spiking data to evaluate spike sorting algorithms by simulating spike movements in neural recordings.

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.

Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research

This paper introduces a stimulus-aware spatial filtering method for improving neural response and temporal response function estimation in EEG data, showing improved performance over standard approaches.

Analysis of miniaturization effects and channel selection strategies for EEG sensor networks with application to auditory attention detection

The paper evaluates whether optimizing wireless EEG sensor network topology can mitigate miniaturization effects in auditory attention detection.

Online detection of auditory attention with mobile EEG: closing the loop with neurofeedback

This paper investigates online auditory attention detection with neurofeedback, showing that training can improve performance and that stimuli correlate with AAD outcomes.