Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types.

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第一作者： Petar,Tomov

第一单位： Institute of Mathematics, Humboldt University of Berlin Berlin, Germany.

作者： Petar,Tomov ^[1] ; Rodrigo F O,Pena ^[2] ; Antonio C,Roque ^[3] ; Michael A,Zaks ^[4]

作者单位： Institute of Mathematics, Humboldt University of Berlin Berlin, Germany. ^[1] Laboratório de Sistemas Neurais, Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São PauloSão Paulo, Brazil; Institute of Physics, Humboldt University of BerlinBerlin, Germany. ^[2] Laboratório de Sistemas Neurais, Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo São Paulo, Brazil. ^[3] Institute of Physics and Astronomy, University of Potsdam Potsdam, Germany. ^[4]

关键词 chaotic neural dynamics cortical network models cortical oscillations hierarchical modular networks intrinsic neuronal diversity irregular firing activity self-sustained activity up-down states

DOI 10.3389/fncom.2016.00023

PMID 27047367

发布时间 2020-09-30

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Frontiers in computational neuroscience

2016年10卷

23页

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Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types.

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Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types.

Frontiers in computational neuroscience

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Frontiers in computational neuroscience

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