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Disentangled deep generative models reveal coding principles of the human face processing network.

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Title: Disentangled deep generative models reveal coding principles of the human face processing network.
Authors: Soulos, Paul1 (AUTHOR), Isik, Leyla1 (AUTHOR) lisik@jhu.edu
Source: PLoS Computational Biology. 2/26/2024, Vol. 20 Issue 2, p1-18. 18p.
Database: Academic Search Ultimate
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  Data: Disentangled deep generative models reveal coding principles of the human face processing network.
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  Data: <searchLink fieldCode="AR" term="%22Soulos%2C+Paul%22">Soulos, Paul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Isik%2C+Leyla%22">Isik, Leyla</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lisik@jhu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 2/26/2024, Vol. 20 Issue 2, p1-18. 18p.
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        Value: 10.1371/journal.pcbi.1011887
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              Text: 2/26/2024
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