Related Experiment Video
Updated: Jul 2, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Explicit cue weighting in a Bayesian model of auditory localization: Quantifying the relative contributions of
Dingding Yao1,2, Jiale Zhao1,2, Qinglin Mi1,2
1Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
Abstract:
Auditory localization depends on the integration of binaural and spectral cues, yet their relative contributions to localization judgments remain difficult to quantify within a unified computational framework. This study introduces a Bayesian model of static auditory localization with an explicit cue-weighting (ECW) mechanism that estimates cue-specific weighting parameters by fitting behavioral responses. By embedding ECW into the likelihood function, the model provides a probabilistic framework for characterizing how weighted acoustic cues, spatial priors, and motor noise jointly shape localization responses. The estimated weighting patterns were broadly consistent with classic psychoacoustic findings, showing stronger weighting of binaural cues together with selective high-frequency weighting of spectral cues. The model further accounted for major behavioral trends across broadband stimulation and several challenging acoustic conditions, including non-individualized head-related transfer functions and reduced spectral resolution via vocoders. Together, these results indicate that the proposed ECW model extends Bayesian models of auditory localization by making the relative contributions of established binaural and spectral cues behaviorally estimable while providing competitive predictive performance.
Related Concept Videos
Perceiving Loudness, Pitch, and Location
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by identifying...
The Cochlea
Non-Verbal Cues
Depth Perception and Spatial Vision
Weighted Mean
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
Auditory Perception

