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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Detalles Bibliográficos
Autores principales: Li, Vickie, Herce Castañón, Santiago, Solomon, Joshua A., Vandormael, Hildward, Summerfield, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589265/
https://www.ncbi.nlm.nih.gov/pubmed/28841644
http://dx.doi.org/10.1371/journal.pcbi.1005723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589265/
https://www.ncbi.nlm.nih.gov/pubmed/28841644
http://dx.doi.org/10.1371/journal.pcbi.1005723

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