• DocumentCode
    3493795
  • Title

    A novel piece-wise constant analog spiking neuron model and its neuron-like excitabilities

  • Author

    Yamashita, Yutaro ; Torikai, Hiroyuki

  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    717
  • Lastpage
    724
  • Abstract
    A novel analog spiking neuron model which has a piece-wise constant (ab. PWC) vector field and can be implemented by a simple electronic circuit is proposed. Using theories on discontinuous ODEs, the dynamics of the proposed model can be reduced into a one-dimensional return map analytically. Using the return map, it is shown that the proposed model can exhibit various neuron-like behaviors and bifurcations. It is also shown that the model can reproduce not only the individual neuron-like behaviors and bifurcations but also relations among them that are typically observed in biological and model neurons.
  • Keywords
    bifurcation; bioelectric potentials; biology computing; differential equations; neural nets; 1D return map; discontinuous ODE; electronic circuit; neuron-like behaviors; neuron-like bifurcations; neuron-like excitabilities; ordinary differential equation; piece-wise constant analog spiking neuron model; piece-wise constant vector field; Analytical models; Artificial neural networks; Bifurcation; Biological system modeling; Copper; Neurons; Video recording; Bifurcation; Electronic hardware neuron; Excitability; Spiking neuron model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2011 International Joint Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4244-9635-8
  • Type

    conf

  • DOI
    10.1109/IJCNN.2011.6033292
  • Filename
    6033292