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Counterfactual Reasoning Underlies the Learning of Priors in Decision Making

Accurate decisions require knowledge of prior probabilities (e.g., prevalence or base rate), but it is unclear how prior probabilities are learned in the absence of a teacher. We hypothesized that humans could learn base rates from experience making decisions, even without feedback. Participants mad...

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Veröffentlicht in:Neuron
Hauptverfasser: Zylberberg, Ariel, Wolpert, Daniel M., Shadlen, Michael N.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Cell Press 2018
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6127036/
https://ncbi.nlm.nih.gov/pubmed/30122376
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuron.2018.07.035
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