Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity.

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Title: Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity.
Authors: Tikidji-Hamburyan RA; Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center , New Orleans, Louisiana., Leonik CA; Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center , New Orleans, Louisiana., Canavier CC; Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center , New Orleans, Louisiana.
Source: Journal of neurophysiology [J Neurophysiol] 2019 Apr 01; Vol. 121 (4), pp. 1125-1142. Date of Electronic Publication: 2019 Feb 06.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Physiological Society Country of Publication: United States NLM ID: 0375404 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-1598 (Electronic) Linking ISSN: 00223077 NLM ISO Abbreviation: J Neurophysiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity.
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  Data: <searchLink fieldCode="AU" term="%22Tikidji-Hamburyan+RA%22">Tikidji-Hamburyan RA</searchLink>; Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center , New Orleans, Louisiana.<br /><searchLink fieldCode="AU" term="%22Leonik+CA%22">Leonik CA</searchLink>; Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center , New Orleans, Louisiana.<br /><searchLink fieldCode="AU" term="%22Canavier+CC%22">Canavier CC</searchLink>; Department of Cell Biology and Anatomy, Louisiana State University Health Sciences Center , New Orleans, Louisiana.
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  Data: <searchLink fieldCode="JN" term="%220375404%22">Journal of neurophysiology</searchLink> [J Neurophysiol] 2019 Apr 01; Vol. 121 (4), pp. 1125-1142. <i>Date of Electronic Publication: </i>2019 Feb 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Physiological+Society%22">American Physiological Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0375404 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1522-1598 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223077%22">00223077 </searchLink><i>NLM ISO Abbreviation: </i>J Neurophysiol <i>Subsets: </i>MEDLINE
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        Value: 10.1152/jn.00728.2018
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        Text: English
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      – TitleFull: Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity.
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            NameFull: Leonik CA
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              Text: 2019 Apr 01
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