Bayesian prior uncertainty and surprisal elicit distinct neural patterns during sound localization in dynamic environments

Abstract Estimating the location of a stimulus is a key function in sensory processing, and widely considered to result from the integration of prior information and sensory input according to Bayesian principles. A deviation of sensory input from the prior elicits surprisal, depending on the uncert...

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Bibliographic Details

Main Authors:	Burcu Bayram, David Meijer, Roberto Barumerli, Michelle Spierings, Robert Baumgartner, Ulrich Pomper
Format:	Artigo
Language:	Inglês
Published:	Nature Portfolio 2025-03-01
Series:	Scientific Reports
Subjects:	Perception Bayesian inference Neural oscillations Auditory Localization EEG
Online Access:	https://doi.org/10.1038/s41598-025-90269-9
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