Piotr Majdak

This study compares a Bayesian model's predictions of dynamic sound localisation with human performance, showing agreement and insights into how acoustic and sensorimotor information are integrated.

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

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.