Explaining burst profiles using models with realistic parameters and plastic synapses

T. Gritsun, J. Stegenga, Jakob le Feber, Wim Rutten

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    One of the most prominent features of the electrical activity of dissociated cultured neural networks is the phenomenon of network bursts. Profiles of the instantaneous firing rate during bursts vary in shape and intensity during neuronal culture development. To shed some light on burst profile variability we constructed “pacemaker-driven��? random recurrent neural network models with both static and frequency dependent synapses. We show variation of burst features by changing the network parameters of the models. The best agreement was found by including synapses with short-term plasticity.
    Original languageUndefined
    Title of host publication6th International Meeting on Substrate-Integrated Microelectrodes
    Place of PublicationStuttgart, Germany
    PublisherBIOPRO Baden-Wuerttemberg GmbH
    Number of pages3
    ISBN (Print)3-938345-05-5
    Publication statusPublished - 8 Jul 2008
    Event6th international meeting on substrate-integrated micro electrode arrays 2008 - Stuttgart, Germany
    Duration: 8 Jul 200811 Jul 2008
    Conference number: 6

    Publication series

    PublisherBIOPRO Baden-Wuerttemberg GmbH


    Conference6th international meeting on substrate-integrated micro electrode arrays 2008


    • METIS-265265
    • EWI-17282
    • IR-69663

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