• DocumentCode
    2664922
  • Title

    The effect of extreme low frequency external alternating-current field on the adaptability in the Ermentrout model

  • Author

    Wang, Jiang ; Chang, Li ; Deng, Bin ; Wei, Xile ; Li, Huiyan

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    123
  • Lastpage
    128
  • Abstract
    Spike-frequency adaptation is a prominent aspect of neuronal dynamics in neural information processing. The external electric field has an effect on the dynamic behavior of the neural system, affecting the generation and conduction of neural information. Based on the Ermentrout model, a modified Ermentrout model under the external electric field is established. From the membrane potential curve and spike frequency curve both changing with time and the onset spike frequency curve changing with the input signal, the changes of the adaptability and the requirements met by the external electric field for the adaptive model are given. The research results suggest a functional role for the external electric field in the excitability of biological nervous system and pathogenesis of several neurological diseases.
  • Keywords
    biomembranes; diseases; electric fields; neural nets; neurophysiology; Ermentrout model adaptability; biological nervous system excitability; dynamic behavior; external electric field; extreme low-frequency external alternating-current field; input signal; membrane potential curve; neural information processing; neurological disease pathogenesis; neuronal dynamics; onset spike frequency curve; spike-frequency adaptation; Adaptation models; Electric fields; Electric potential; Integrated circuit modeling; Neurons; Time frequency analysis; Spike-frequency adaptation; the Ermentrout model; the external alternating-current field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244019
  • Filename
    6244019