Suiping Wang

The paper introduces a large-scale McGurk illusion dataset to study audiovisual speech integration, revealing variability in susceptibility and associations with perception and speaker characteristics.

This study examines how deafness affects visual processing across different domains and finds that cognitive abilities, particularly fluid intelligence, influence specific visual sensitivities in deaf individuals.

This study shows that perceptual uncertainty explains neural activation differences between McGurk and congruent audiovisual speech stimuli, supporting the McGurk illusion as a valid measure of natural speech perception.

The paper investigates semantic processing during reading by analyzing fixation-related potentials and eye movements, finding parafoveal and foveal N400 effects that suggest semantic information is processed parafoveally.

The paper investigates individual differences in McGurk illusion susceptibility and finds they reflect integration-segregation strategies based on unisensory accuracy, supporting Bayesian causal inference theory.

The paper develops a predictive model of semantic processing ability using functional brain connectivity from the HCP dataset and validates its generalizability across different populations and tasks.

The paper investigates how parafoveal word preview influences sentence meaning processing using ERPs in an RSVP-with-flanker task, finding that congruent previews affect N400 responses.

The paper investigates how neural dynamics differ based on auditory category structures during learning, showing distinct spatiotemporal patterns for rule-based and information-integration tasks.