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The high-conductance state of cortical networks.

The high-conductance state of cortical networks. Research Abstract Details 

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  • The high-conductance state of cortical networks. Abstract Text:

    arvind kumarArvind Kumar,sven schraderSven Schrader,ad aertsenAd Aertsen,stefan rotterStefan Rotter,arvind kumarArvind Kumar,sven schraderSven Schrader,ad aertsenAd Aertsen,stefan rotterStefan Rotter,arvind kumarArvind Kumar,sven schraderSven Schrader,ad aertsenAd Aertsen,stefan rotterStefan Rotter,

    We studied the dynamics of large networks of spiking neurons with conductance-based (nonlinear) synapses and compared them to networks with current-based (linear) synapses. For systems with sparse and inhibition-dominated recurrent connectivity, weak external inputs induced asynchronous irregular firing at low rates. Membrane potentials fluctuated a few millivolts below threshold, and membrane conductances were increased by a factor 2 to 5 with respect to the resting state. This combination of parameters characterizes the ongoing spiking activity typically recorded in the cortex in vivo. Many aspects of the asynchronous irregular state in conductance-based networks could be sufficiently well characterized with a simple numerical mean field approach. In particular, it correctly predicted an intriguing property of conductance-based networks that does not appear to be shared by current-based models: they exhibit states of low-rate asynchronous irregular activity that persist for some period of time even in the absence of external inputs and without cortical pacemakers. Simulations of larger networks (up to 350,000 neurons) demonstrated that the survival time of self-sustained activity increases exponentially with network size.

    The high-conductance state of cortical networks. Publishing Authors By Initials

    a kumarA Kumar,s schraderS Schrader,a aertsenA Aertsen,s rotterS Rotter,a kumarA Kumar,s schraderS Schrader,a aertsenA Aertsen,s rotterS Rotter,a kumarA Kumar,s schraderS Schrader,a aertsenA Aertsen,s rotterS Rotter,

    For similar abstracts research abstracts see: abstracts research

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    The high-conductance state of cortical networks. Journal Published:

    PUBLICATION TYPE: Letter

    Journal: Neural computation

    VOLUME: 20

    Page Numbers: 1-43

    Journal Abbreviation:

    ISSN: 0899-7667

    DAY: 29

    MONTH: Jan

    YEAR: 2008

    The high-conductance state of cortical networks. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9426182

    The high-conductance state of cortical networks. Keywords Mesh Terms:

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    Grant and Affiliation Information for The high-conductance state of cortical networks.

    AFFILIATION: Neurobiology and Biophysics, Faculty of Biology, University of Freiburg, D-79104 Freiburg, Germany, and Bernstein Center for Computational Neuroscience, D-79104 Freiburg, Germany arvind_kumar@brown.edu.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Neural Comput

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