Soukhin Das

The paper uses neural entrainment measures from EEG data to predict speech-in-noise perception performance in a cohort of healthy listeners.

This study investigates how auditory brainstem responses to speech-in-noise reflect selective attention, comprehension, and listening effort using a novel stimulus.

The paper evaluates how age, pure tone audiometry, and cognitive ability predict speech perception in noise using a novel auditory attention task.

This study investigates the role of the Ventral Attention Network (VAN) in attentional reorienting during cross-modal expectancy violations using EEG and fMRI.

The paper investigates how individual cognitive and perceptual differences predict neural speech processing in noise using EEG and cognitive tasks.

This study uses CNNs to explore how perceptual expertise and attention interact in object recognition, finding that attention enhances performance within expertise domains but not outside.