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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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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | 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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