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.
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| Language: | English |
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Nature Publishing Group
2019-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-12623-6 |
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doaj-e98fc9d58d49400dacc21b3515cf7cb82021-05-11T11:58:25ZengNature Publishing GroupNature Communications2041-17232019-10-0110111310.1038/s41467-019-12623-6Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networksShany Grossman0Guy Gaziv1Erin M. Yeagle2Michal Harel3Pierre Mégevand4David M. Groppe5Simon Khuvis6Jose L. Herrero7Michal Irani8Ashesh D. Mehta9Rafael Malach10Department of Neurobiology, Weizmann Institute of ScienceDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell and Feinstein Institute for Medical ResearchDepartment of Neurobiology, Weizmann Institute of ScienceDepartment of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell and Feinstein Institute for Medical ResearchDepartment of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell and Feinstein Institute for Medical ResearchDepartment of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell and Feinstein Institute for Medical ResearchDepartment of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell and Feinstein Institute for Medical ResearchDepartment of Computer Science and Applied Mathematics, Weizmann Institute of ScienceDepartment of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell and Feinstein Institute for Medical ResearchDepartment of Neurobiology, Weizmann Institute of ScienceDeep 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.https://doi.org/10.1038/s41467-019-12623-6 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
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 |
| spellingShingle |
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 Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks Nature Communications |
| author_facet |
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 |
| author_sort |
Shany Grossman |
| title |
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks |
| title_short |
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks |
| title_full |
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks |
| title_fullStr |
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks |
| title_full_unstemmed |
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks |
| title_sort |
convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2019-10-01 |
| description |
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. |
| url |
https://doi.org/10.1038/s41467-019-12623-6 |
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