Tim Rohe

The paper investigates crossmodal postdiction in the audiovisual rabbit illusion using Bayesian causal inference models, showing that the BCI framework explains the phenomenon better than other models.

This study develops a new method to model individual alpha phase relationships with multisensory perception and finds that individual phase coupling affects multisensory integration.

This study shows that theta band neural entrainment predicts groove perception in popular music, with multivariate decoding models achieving high accuracy in predicting individual groove ratings.

This study investigates perceptual and causal inference in schizophrenia using psychophysics, Bayesian modeling, and EEG, finding intact computational mechanisms in medicated patients.

This study shows that humans integrate past and current sensory signals to estimate uncertainty, challenging models that assume uncertainty is based only on current stimuli.

This study investigates how the brain performs hierarchical Bayesian inference in multisensory perception using EEG and Bayesian modeling, showing model averaging and prior belief influence.