Gavin M. Bidelman

This study shows that musical experience improves temporal speech processing in older adults with mild cognitive impairment, suggesting potential cognitive protection.

The paper investigates how attention modulates corticofugal feedback in human speech perception in noise, showing attention enhances subcortical speech processing and strengthens corticofugal signaling.

The paper uses machine learning to decode speech categorization from EEG data, finding that speech categories are decoded with high accuracy as early as 120 ms.

The paper shows induced gamma-band oscillations better decode speech categories than evoked beta-band activity, suggesting induced rhythms dominate speech categorization.

This study investigates how lexical influence affects speech categorization in auditory cortex through informational vs. energetic masking, finding differential effects on behavior and neural responses.

This study identifies subcortical sources as key drivers of speech-in-noise perception through frequency-following responses (FFRs) using EEG source reconstruction.

The paper investigates how lexical context influences speech perception by analyzing neural responses to phoneme categorization in word vs. nonword contexts, finding rapid lexical biasing effects.

The paper investigates the role of auditory cortex in auditory working memory, finding that sustained neural activity in auditory cortex correlates with memory performance and predicts individual differences in capacity.

This study uses computational modeling to show that single-trial neural dynamics, specifically smaller P2 amplitudes, predict successful auditory category learning in nonmusicians.

The paper investigates neural oscillations and functional connectivity in children with amblyaudia using EEG, finding aberrant beta-gamma oscillations and reduced inter-hemispheric connectivity.

This study uses EEG and computational methods to identify brain connectivity states that predict speech categorization decision speed, finding strong correlations between neural patterns and response times.

The paper shows that reduced afferent connectivity between auditory brainstem and cortex in older adults predicts poorer speech-in-noise comprehension.

The paper shows that auditory expertise modulates neural categorization mechanisms, with musicians using primary auditory cortex and nonmusicians relying on higher-order linguistic regions.

The paper investigates how categorical perception of speech aids its perception in noise by analyzing behavioral and neural responses to varying signal-to-noise ratios.