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- W2561082235 abstract "Significance When sensory information is uncertain, humans rely on prior knowledge of the environment when making perceptual judgments and planning actions. Humans can rapidly learn new priors, but the rules governing how recent experiences are grouped together are unknown. Here, we show that observers initially form single priors by generalizing across distinct sensory signals but form multiple priors when they are coupled with different motor outputs. Thus, our results reveal that internal models of temporal statistics are initially organized not according to the nature of the sensory input but according to the way on which it is acted." @default.
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- W2561082235 date "2016-12-22" @default.
- W2561082235 modified "2023-10-02" @default.
- W2561082235 title "Generalization of prior information for rapid Bayesian time estimation" @default.
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- W2561082235 doi "https://doi.org/10.1073/pnas.1610706114" @default.
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