Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks

The discovery that deep convolutional neural networks (DCNNs) achieve human performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties to such tasks. Here we show that the face-space geometry, revealed through pair-wise activation similarities of face-selective...

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Detalles Bibliográficos
Autores principales: Grossman, Shany, Gaziv, Guy, Yeagle, Erin M., Harel, Michal, Mégevand, Pierre, Groppe, David M., Khuvis, Simon, Herrero, Jose L., Irani, Michal, Mehta, Ashesh D., Malach, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821842/
https://www.ncbi.nlm.nih.gov/pubmed/31666525
http://dx.doi.org/10.1038/s41467-019-12623-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821842/
https://www.ncbi.nlm.nih.gov/pubmed/31666525
http://dx.doi.org/10.1038/s41467-019-12623-6

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