Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.

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Title: Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.
Authors: Kalmbach BE; Center for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, Texas; and., Gray R; Center for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, Texas; and., Johnston D; Center for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, Texas; and., Cook EP; Centre for Mathematics in Bioscience and Medicine, Department of Physiology, McGill University, Montreal, Quebec, Canada erik.cook@mcgill.ca.
Source: Journal of neurophysiology [J Neurophysiol] 2017 Jun 01; Vol. 117 (6), pp. 2188-2208. Date of Electronic Publication: 2017 Mar 01.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
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: Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.
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  Data: <searchLink fieldCode="AU" term="%22Kalmbach+BE%22">Kalmbach BE</searchLink>; Center for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, Texas; and.<br /><searchLink fieldCode="AU" term="%22Gray+R%22">Gray R</searchLink>; Center for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, Texas; and.<br /><searchLink fieldCode="AU" term="%22Johnston+D%22">Johnston D</searchLink>; Center for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, Texas; and.<br /><searchLink fieldCode="AU" term="%22Cook+EP%22">Cook EP</searchLink>; Centre for Mathematics in Bioscience and Medicine, Department of Physiology, McGill University, Montreal, Quebec, Canada erik.cook@mcgill.ca.
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  Data: <searchLink fieldCode="JN" term="%220375404%22">Journal of neurophysiology</searchLink> [J Neurophysiol] 2017 Jun 01; Vol. 117 (6), pp. 2188-2208. <i>Date of Electronic Publication: </i>2017 Mar 01.
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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.00951.2016
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        Text: English
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        StartPage: 2188
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      – TitleFull: Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.
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              Text: 2017 Jun 01
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