Christoph Kayser

The paper investigates brain regions representing auditory and visual speech, finding distinct networks for each modality with partial overlap in specific temporal and frontal regions.

The paper shows that pre-stimulus frontal alpha power correlates with individual perceptual bias in a time perception task, suggesting alpha activity reflects processes that help overcome idiosyncratic biases.

The paper tests whether rhythmic processes shape perception of extended soundscapes and finds rhythmic components in perceptual sampling at the delta band time scale.

The paper investigates the neural basis of multisensory integration and trial-by-trial perceptual recalibration using MEG and finds that medial superior parietal cortex mediates both processes.

This study identifies a spatio-temporal cascade of multisensory integration in the human brain, showing prefrontal cortex guides flexible integration based on sensory representations.

This study investigates how pre-stimulus brain activity influences auditory perception in young and older adults, finding consistent relationships between rhythmic brain activity and sensory encoding despite age-related changes.

This study investigates the neural correlates of an auditory pitch-visual size cross-modal association using EEG and finds early neural representations and congruency effects in sensory processing.

The paper identifies distinct time-scales of neural speech tracking in auditory and motor regions that correlate with specific linguistic features and comprehension.

This study shows that neural responses to audio-visual integration are modulated by sensory reliability early (84ms) and perceptual weights later (120ms) after stimulus onset.

This study identifies neural correlates of the rubber hand illusion using EEG, finding consistent attenuation of ERPs and decreases in frontal alpha and beta power during the illusion.

The paper investigates how local speech encoding and functional connectivity contribute to audio-visual speech integration using MEG data, finding that enhanced connectivity, not local encoding, predicts the benefit of visual speech cues.

The paper introduces a statistical framework for neuroimaging data analysis using mutual information estimated via a Gaussian copula, validated on EEG and MEG data with applications to various signal features.