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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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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Nature Portfolio
2025-03-01
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| Serie: | Scientific Reports |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1038/s41598-025-90269-9 |
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