Evolutionary Kuramoto dynamics unravels origins of chimera states in neural populations.

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Title: Evolutionary Kuramoto dynamics unravels origins of chimera states in neural populations.
Authors: Zdyrski, Thomas1 (AUTHOR) thomas.zdyrski@dartmouth.edu, Pauls, Scott1 (AUTHOR), Fu, Feng1,2 (AUTHOR)
Source: PLoS Computational Biology. 4/30/2026, Vol. 22 Issue 4, p1-22. 22p.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 4/30/2026, Vol. 22 Issue 4, p1-22. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193468677
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        Value: 10.1371/journal.pcbi.1014214
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        Text: English
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      – TitleFull: Evolutionary Kuramoto dynamics unravels origins of chimera states in neural populations.
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              Text: 4/30/2026
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