Population rate-coding predicts correctly that human sound localization depends on sound intensity.

ABSTRACT: Human sound localization is an important computation performed by the brain. Models of sound localization commonly assume that sound lateralization from interaural time differences is level invariant. Here we observe that two prevalent theories of sound localization make opposing predictions. The labelled-line model encodes location through tuned representations of spatial location and predicts that perceived direction is level invariant. In contrast, the hemispheric-difference model encodes location through spike-rate and predicts that perceived direction becomes medially biased at low sound levels. Here, behavioral experiments find that softer sounds are perceived closer to midline than louder sounds, favoring rate-coding models of human sound localization. Analogously, visual depth perc

SUBMITTER: Ihlefeld A 

PROVIDER: S-EPMC6802950 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature