Robert Baumgartner

The paper investigates how brain networks predict and evaluate auditory events by analyzing EEG data during a task with varying predictability, finding distinct connectivity patterns for prediction and evaluation phases.

The paper examines corticocortical connectivity patterns in response to looming and receding sounds, finding frontal cortical involvement in auditory looming processing without conscious threat perception.

This study tests whether common marmosets use pitch contour information from vocalizations to recognize familiar vs. unfamiliar conspecifics, finding no group-level differentiation.

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 investigates how aging and hearing impairment affect listening in noise using behavioral and neurophysiological measures, finding that aging alone does not significantly impair sound source detection, but mild hearing loss does.

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

This study compares the impact of using template versus individualized brain anatomies and EEG electrode positions on the localization accuracy of the primary auditory cortex using dSPM and sLORETA inverse solutions.

The paper develops a model to predict auditory externalization in static listening conditions, finding that a fixed weighting of monaural and interaural cues best explains perceptual judgments.

The paper investigates how impoverished spatial auditory cues affect brain networks involved in spatial selective attention, finding that natural cues better engage these networks than simplified ones.