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

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

Deep convolutional neural networks (DCNNs) are able to identify faces on par with humans. Here, the authors record neuronal activity from higher visual areas in humans and show that face-selective responses in the brain show similarity to those in the intermediate layers of the DCNN.

Bibliographic Details
Main Authors: Shany Grossman, Guy Gaziv, Erin M. Yeagle, Michal Harel, Pierre Mégevand, David M. Groppe, Simon Khuvis, Jose L. Herrero, Michal Irani, Ashesh D. Mehta, Rafael Malach
Format: Article
Language:English
Published: Nature Publishing Group 2019-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-12623-6

Internet

https://doi.org/10.1038/s41467-019-12623-6

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