Jens Hjortkjær

The paper identifies a modiolar-pillar gradient in auditory-nerve dendritic length in guinea pigs, suggesting it contributes to differences in threshold sensitivity among auditory-nerve fibers.

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 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.

This paper introduces Canonical Correlation Analysis (CCA) to decode auditory brain responses and improve stimulus-response mapping for BCI applications.