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Robust averaging protects decisions from noise in neural computations

An ideal observer will give equivalent weight to sources of information that are equally reliable. However, when averaging visual information, human observers tend to downweight or discount features that are relatively outlying or deviant (‘robust averaging’). Why humans adopt an integration policy...

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Bibliografski detalji
Izdano u:PLoS Comput Biol
Glavni autori: Li, Vickie, Herce Castañón, Santiago, Solomon, Joshua A., Vandormael, Hildward, Summerfield, Christopher
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2017
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5589265/
https://ncbi.nlm.nih.gov/pubmed/28841644
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005723
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