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Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance
The fusiform face area (FFA) is defined by its selectivity for faces. Several studies have shown that the response of FFA to non-face objects can predict behavioral performance for these objects. However, one possible account is that experts pay more attention to objects in their domain of expertise...
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| Publicado no: | J Cogn Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5034353/ https://ncbi.nlm.nih.gov/pubmed/26439272 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/jocn_a_00891 |
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