Fabian Schmidt

The paper investigates ocular speech tracking in blind and sighted individuals, finding it is not modulated by speech intelligibility and has two frequency-specific components influenced by visual experience.

This study identifies accelerated neural aging as a risk factor for tinnitus by analyzing MEG and structural imaging data from multiple datasets.

The paper shows that individuals with developmental dyslexia show reduced flexibility in neural speech tracking frequency shifts in response to speech intelligibility changes, linked to phonological awareness and reading deficits.

This study shows that eye movements track unheard speech during silent lip-reading and relates to hearing experience, with differences between hearing and deaf groups.

The paper shows that eye movements track acoustic features of attended speech, differentiating targets from distractors and relating to speech intelligibility.

The paper investigates prenatal language learning in newborns using EEG, finding evidence of discrimination between familiar and unfamiliar rhymes, prosodic learning, and correlations between maternal depression, fetal stress, and later language development.

The paper investigates the relationship between prediction tendencies, eye movements, and neural speech tracking, proposing a unified framework for understanding speech processing.

This study investigates how neural speech tracking shifts from syllable rate to modulation rate as speech intelligibility decreases using magnetoencephalography.

This study uses MEG and TRFs to show how speech intelligibility affects the temporal dynamics of neural speech tracking, revealing differential impacts at different time windows.

The paper investigates age-related changes in cortical 1/f dynamics and finds they are influenced by cardiac activity, challenging the interpretation of aperiodic signals as purely cortical.

The paper quantifies individual auditory prediction tendencies and shows they facilitate cortical speech tracking and interact with noise and word surprisal.

This paper introduces a backward encoding model to reconstruct auditory brainstem responses from electrophysiological data, showing high correlation between predicted and measured ABRs.