David Meijer

The paper investigates belief updating in auditory perception, finding that pupil dilations correlate with computational variables like information gain and surprisal, and show no domain-specific effects.

This study uses EEG and computational modeling to show that prior uncertainty and surprisal elicit distinct neural patterns during dynamic auditory localization, predicting localization error and response uncertainty.

The paper evaluates Bayesian causal inference for perceptual decisions in volatile environments, finding that participants integrate priors when prediction errors are small but reduce reliance as errors increase, indicating prior irrelevance.

This study shows that rTMS to the right parietal cortex reduces the precision of spatial priors in perceptual decisions without affecting causal priors or sensory uncertainties.

This study investigates how observers form perceptual and causal confidence judgments in multisensory integration tasks under causal uncertainty using the audiovisual McGurk illusion.

This paper introduces a Bayesian model for directional sound localization that outperforms existing models using spectral gradient profiles.

This study shows older adults maintain multisensory integration performance by slowing their responses despite noisier sensory processing.