Søren A. Fuglsang

This paper presents a real-time BCI system using EEG attention decoding to control a hearing instrument, enhancing speech perception in noisy environments by steering attention to desired sound sources.

The paper introduces an EM-algorithm for banded regression to enable group-specific shrinkage in neuroscience models, demonstrating its use in fMRI and EEG analyses.

The paper investigates how recent electrical stimulation history affects corticospinal excitability and short-latency afferent inhibition (SAI) in human motor cortex.

The paper introduces a match-mismatch task to evaluate auditory stimulus-response models, showing state-of-the-art performance and providing a reference implementation.

This study compares TRF estimation methods for decoding auditory attention from EEG data using a standardized dataset.

This paper reviews multiway canonical correlation analysis (MCCA) for fusing brain signals across subjects to extract common components, with examples and discussion of its limitations.