• DocumentCode
    2777381
  • Title

    Linear Analysis of the Central Pattern Generation Mechanism

  • Author

    Seydnejad, Saeid

  • Author_Institution
    Ottawa Heart Inst., Ottawa Univ., Ont.
  • fYear
    2007
  • fDate
    2-5 May 2007
  • Firstpage
    477
  • Lastpage
    480
  • Abstract
    A new model is presented for the central pattern generation mechanism based on the integrate-and-fire (IF) model and the neuronal synaptic transfer function. Unlike the existing models which either use complex nonlinear equations or totally ignore the spike (action potential) generation mechanism of a real neuron, the new model presents a more realistic form of the CPG and its neuronal interactions. The most important feature of this model is that it converts the CPG to a linear network for further analysis despite the fact that the IF model is a nonlinear system. This particularly allows us to use well-known feedback theories to obtain the condition and frequency of oscillation in the burst activity of a CPG.
  • Keywords
    feedback; neurophysiology; nonlinear equations; central pattern generation; complex nonlinear equations; feedback; integrate-and-fire model; linear analysis; neuronal synaptic transfer function; Animals; Biomembranes; Frequency; Linear systems; Neural engineering; Neurons; Nonlinear equations; Pattern analysis; Rhythm; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on
  • Conference_Location
    Kohala Coast, HI
  • Print_ISBN
    1-4244-0792-3
  • Electronic_ISBN
    1-4244-0792-3
  • Type

    conf

  • DOI
    10.1109/CNE.2007.369713
  • Filename
    4227318