Bayesian active sound localisation: To what extent do humans perform like an ideal-observer?

ABSTRACT: Self-motion is an essential but often overlooked component of sound localisation. As the directional information of a source is implicitly contained in head-centred acoustic cues, that acoustic input needs to be continuously combined with sensorimotor information about the head orientation in order to decode to a world-centred frame of reference. When utilised, head movements significantly reduce ambiguities in the directional information provided by the incoming sound. In this work, we model human active sound localisation (considering small head rotations) as an ideal observer. In the evaluation, we compared human performance obtained in a free-field active localisation experiment with the predictions of a Bayesian model. Model noise parameters were set a-priori based on behavioural resu

SUBMITTER: McLachlan G 

PROVIDER: S-EPMC11741579 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature