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Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types

  • In a network with a mixture of different electrophysiological types of neurons linked by excitatory and inhibitory connections, temporal evolution leads through repeated epochs of intensive global activity separated by intervals with low activity level. This behavior mimics "up" and "down" states, experimentally observed in cortical tissues in absence of external stimuli. We interpret global dynamical features in terms of individual dynamics of the neurons. In particular, we observe that the crucial role both in interruption and in resumption of global activity is played by distributions of the membrane recovery variable within the network. We also demonstrate that the behavior of neurons is more influenced by their presynaptic environment in the network than by their formal types, assigned in accordance with their response to constant current.

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Metadaten
Author details:Petar Tomov, Rodrigo F. O. Pena, Antonio C. Roque, Michael A. ZaksORCiDGND
URN:urn:nbn:de:kobv:517-opus4-407724
Title of parent work (English):Frontiers in computational neuroscience
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (452)
Publication type:Postprint
Language:English
Date of first publication:2018/06/28
Publication year:2016
Publishing institution:Universität Potsdam
Release date:2018/06/28
Tag:chaotic neural dynamics; cortical network models; cortical oscillations; hierarchical modular networks; intrinsic neuronal diversity; irregular firing activity; self-sustained activity; up-down states
Number of pages:17
Source:Frontiers in computational neuroscience 10 (2016), Art. 23 ; DOI: 10.3389/fncom.2016.00023
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät
Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
DDC classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer review:Referiert
Publishing method:Open Access
Grantor:Frontiers
License (German):License LogoCC-BY - Namensnennung 4.0 International
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