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A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network.

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Title: A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network.
Authors: Li, Yanjun1, Webster-Wood, Victoria A.2,3, vwebster@andrew.cmu.edu, Gill, Jeffrey P.4, Sutton, Gregory P.5, Chiel, Hillel J.4,6,7, Quinn, Roger D.1
Source: Biological Cybernetics; Aug2024, Vol. 118 Issue 3/4, p187-213, 27p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178774970
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network.
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  Data: <searchLink fieldCode="JN" term="%22Biological+Cybernetics%22">Biological Cybernetics</searchLink>; Aug2024, Vol. 118 Issue 3/4, p187-213, 27p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178774970
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      – Type: doi
        Value: 10.1007/s00422-024-00991-2
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 187
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      – TitleFull: A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network.
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            NameFull: Li, Yanjun
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            NameFull: Webster-Wood, Victoria A.
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            NameFull: Gill, Jeffrey P.
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            NameFull: Sutton, Gregory P.
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            NameFull: Chiel, Hillel J.
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            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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              Value: 118
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              Value: 3/4
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            – TitleFull: Biological Cybernetics
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