Torsten Dau

This study shows that perceptual sensitivity thresholds in humans can be explained by a computational model optimized for ecological sound tasks, matching human behavioral thresholds.

This study examines how listening fatigue affects value-based decision-making and frontal cortical activation in hearing aid users.

The paper evaluates a computational auditory model's ability to predict spectro-temporal modulation detection thresholds in young and older listeners, finding it captures overall patterns but underestimates individual variability.

This paper revises the CASP model to improve its accuracy and usability by incorporating a more realistic non-linear inner hair cell model and enhancing decision-making strategies.

This study examines how age and hearing loss affect speech intelligibility and amplitude modulation frequency selectivity, finding that AM tuning contributes to SRT variance in specific masking conditions.

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.

This study investigates how age and hearing loss independently affect amplitude modulation frequency selectivity using a simultaneous AM masking paradigm.

This study investigates how neural representations and perceptual salience of tones in noise vary with masking release, finding that P2 amplitude correlates with audibility while subjective ratings are inconsistent.

This study investigates how virtual reality headsets affect sound localization accuracy by varying visual information and analyzing auditory errors.