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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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Vydáno v:PLoS Comput Biol
Hlavní autoři: Li, Vickie, Herce Castañón, Santiago, Solomon, Joshua A., Vandormael, Hildward, Summerfield, Christopher
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2017
Témata:
On-line přístup: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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