• DocumentCode
    2769499
  • Title

    Bursting analysis and synapse mechanism of a piece-wise constant spiking neuron model

  • Author

    Yamashita, Yutaro ; Torikai, Hiroyuki

  • Author_Institution
    Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A piece-wise constant (ab. PWC) spiking neuron model that can reproduce various neuron-like phenomena including spikings and burstings is presented. Using an analytical iterative map, it is shown that the model can exhibit spikings, burstings, and related bifurcation scenarios, which are qualitatively similar to that of standard neuron models. Also, the bifurcation scenario can be observed in an actual hardware. In addition, a synapse model for the presented neuron model is presented. It is shown that a synapse-coupled system can exhibit various synchronizations that are often observed in synapse-coupled systems of standard neuron models.
  • Keywords
    iterative methods; neural nets; analytical iterative map; bursting analysis; piece-wise constant spiking neuron model; synapse mechanism; synapse-coupled system; Artificial neural networks; Biological system modeling; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252389
  • Filename
    6252389