Targeting operational regimes of interest in recurrent neural networks.

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Title: Targeting operational regimes of interest in recurrent neural networks.
Authors: Ekelmans, Pierre1,2 (AUTHOR), Kraynyukovas, Nataliya1,3 (AUTHOR), Tchumatchenko, Tatjana1,3,4 (AUTHOR) tatjana.tchumatchenko@uni-mainz.de
Source: PLoS Computational Biology. 5/15/2023, Vol. 19 Issue 5, p1-25. 25p. 6 Graphs.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 5/15/2023, Vol. 19 Issue 5, p1-25. 25p. 6 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=163719193
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        Value: 10.1371/journal.pcbi.1011097
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        Text: English
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      – TitleFull: Targeting operational regimes of interest in recurrent neural networks.
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              Text: 5/15/2023
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