• DocumentCode
    2224738
  • Title

    Network bursts in cortical neuronal cultures ‘Noise- versus pacemaker’- driven neural network simulations

  • Author

    Gritsun, T. ; Stegenga, J. ; le Feber, J. ; Rutten, W.L.C.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Twente, Enschede
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    626
  • Lastpage
    628
  • Abstract
    Dissociated neuronal cultures provide a useful platform to study behavior and development of biological neural networks. Isolated from external inputs neural cultures generate electrical activity of their own, showing several features. The most striking feature is the phenomenon of, more or less regular, network bursts, i.e. simultaneous firing of many neurons in a relatively short time window. In this paper we address the issue of spontaneous bursting activity in cortical neuronal cultures and explain what might cause this collective behavior using computer simulations of two different neural network models. While the common approach to activate a passive network is done by introducing synaptic noise, we show that a small subset of pacemaker neurons can trigger network bursts which better resemble experimental bursts.
  • Keywords
    biology computing; brain; neural nets; neurophysiology; cortical neuronal cultures; network bursts; neural network simulations; pacemaker neurons; passive network; spontaneous bursting activity; synaptic noise; Biological neural networks; Biological system modeling; Computational modeling; Computer simulation; Isolation technology; Neural engineering; Neural networks; Neurons; Niobium; Pacemakers; network burst; random recurrent neuronal network; synaptic connectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109374
  • Filename
    5109374