Christoph Daube

The paper shows that beta responses to naturalistic speech can be explained by a simple acoustic model, suggesting a domain-general temporal forecasting function rather than a linguistic one.

This paper shows that hippocampal theta oscillations can be detected and tracked non-invasively using MEG, validated across rodent and human datasets.

This paper compares frequency-domain connectivity measures for cerebro-peripheral analysis using simulated and real MEG data, finding that wppc and gcmi perform best overall.

The paper shows that acoustic features can explain speech processing results previously attributed to linguistic features, suggesting syllables may be better intermediate representations than phonemes.

The paper reconciles conflicting findings on attentional modulation of alpha-band brain rhythms by showing that different EEG analysis approaches reveal distinct effects of spatial attention on stimulus-locked and ongoing neural activity.

The paper investigates how beta-band oscillation network dynamics influence perceptual decision speed in auditory tasks, finding that faster decisions correlate with higher segregation and lower integration of beta-band oscillations.