• DocumentCode
    671610
  • Title

    Analysis of various transient phenomena and co-existing periodic spike-trains in simple digital spike maps

  • Author

    Horimoto, Narutoshi ; Saito, Takashi

  • Author_Institution
    EE Dept., Hosei Univ., Tokyo, Japan
  • fYear
    2013
  • fDate
    4-9 Aug. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper studies various transient- and steady-state spike-trains generated by the digital spike map: a simple digital dynamical system from a set of one-dimensional lattice points to itself. In order to consider the spike-trains, three feature quantities are presented: 1) the number of periodic spike-trains that can characterize richness of the steady states, 2) the concentricity of spike-position transition that can characterize transition of map, and 3) the concentricity of direct transition to the periodic spike-trains that can characterize local stability of the steady state. Based on these quantities, we give basic classification of dynamics of spike-trains and demonstrate typical examples. The results can be basic information to develop study of digital spike systems and their applications.
  • Keywords
    neural nets; neurophysiology; transient analysis; coexisting periodic spike-trains; digital dynamical system; digital spike systems; one-dimensional lattice points; simple digital spike maps; spike-position transition concentricity; spike-train dynamics classification; steady-state spike-trains; transient phenomena analysis; transient-state spike-trains; Concrete; Lattices; Neurons; Nickel; Stability analysis; Steady-state; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2013 International Joint Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-6128-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2013.6706951
  • Filename
    6706951