• DocumentCode
    184797
  • Title

    Event-driven simulation of the tempotron spiking neuron

  • Author

    Bo Zhao ; Qiang Yu ; Ruoxi Ding ; Shoushun Chen ; Huajin Tang

  • Author_Institution
    Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    667
  • Lastpage
    670
  • Abstract
    This paper presents an event-driven method for the simulation of the tempotron spiking neuron. We propose an efficient dummy-spike-based approach to deal with the two-exponential decay postsynaptic potential kernel. Experimental results show that event-driven simulation runs much faster than conventional time-driven simulation. We also propose a simple but efficient method to solve a same-timestamp problem encountered in event-driven simulation of a simplified tempotron neuron which uses only single-exponential decay.
  • Keywords
    bioelectric potentials; neurophysiology; dummy spike based approach; event driven simulation; tempotron spiking neuron; two exponential decay postsynaptic potential kernel; Biological system modeling; Computational modeling; Integrated circuit modeling; Kernel; Neurons; Spatiotemporal phenomena; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981814
  • Filename
    6981814