• DocumentCode
    3071539
  • Title

    Inhibitory chemical coupling of electronic Morris-Lecar neuron model and its bifurcation analysis

  • Author

    Xue, Liang ; Wang, Jiang ; Deng, Bin ; Dong, Feng

  • Author_Institution
    School of electronic engineering and automation, Tianjin University, CO 300072 China
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    2461
  • Lastpage
    2464
  • Abstract
    In this paper, we got the implementation of the electronic neuron based on the Morris-Lecar model, and use the circuit to analysis the bifurcation of the Morris-Lecor model. Based on the results of the bifurcation analysis, we get bursting neurons by introducing a slow driving current. Furthermore, based on the implementation of a single electronic neuron, the electronic neurons are coupled through inhibiting chemical synapses which is one of the most important connections. Finally, we analyze behavior of the network of the electronic neurons coupled through the inhibiting chemical synapses.
  • Keywords
    Automation; Bifurcation; Chemical analysis; Circuit analysis; Computer networks; Costs; Coupling circuits; Mathematical model; Neurons; Virtual manufacturing; Action Potentials; Animals; Biophysical Phenomena; Biophysics; Electronics; Electrophysiology; Humans; Models, Statistical; Models, Theoretical; Nerve Net; Neurons; Oscillometry; Synapses; Synaptic Transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649698
  • Filename
    4649698