Hierarchical abstraction drives human-like 3-D shape processing in deep learning models.

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Title: Hierarchical abstraction drives human-like 3-D shape processing in deep learning models.
Authors: Fu, Shuhao1 (AUTHOR) fushuhao@g.ucla.edu, Kellman, Philip J.1 (AUTHOR), Lu, Hongjing1,2 (AUTHOR)
Source: PLoS Computational Biology. 3/13/2026, Vol. 22 Issue 3, p1-21. 21p.
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  Data: Hierarchical abstraction drives human-like 3-D shape processing in deep learning models.
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  Data: <searchLink fieldCode="AR" term="%22Fu%2C+Shuhao%22">Fu, Shuhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fushuhao@g.ucla.edu</i><br /><searchLink fieldCode="AR" term="%22Kellman%2C+Philip+J%2E%22">Kellman, Philip J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Hongjing%22">Lu, Hongjing</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 3/13/2026, Vol. 22 Issue 3, p1-21. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192290534
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        Value: 10.1371/journal.pcbi.1014047
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        Text: English
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              Text: 3/13/2026
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