Daniel C. Comstock

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.

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

The paper investigates modality-specific beta band neural activity during rhythm perception, finding distinct patterns for auditory and visual rhythms.