• DocumentCode
    3454644
  • Title

    Application of integral function method for analysis of neuronal spike trains

  • Author

    Hataoka, Hiroshi ; Noguchi, Yasuaki ; Suimoto, S.

  • Author_Institution
    Dept. of Appl. Phys., Nat. Defense Acad., Yokosuka, Japan
  • fYear
    1988
  • fDate
    4-7 Nov. 1988
  • Firstpage
    1148
  • Abstract
    An alias-free sampling technique proposed by A.S. French and A.V. Holden (1971) is often applied to the analysis of neuronal spike trains. It is based on the integral pulse frequency modulation model and on a low-pass-filtering technique proposed by E.J. Bayley (1968). The authors recently improved the alias-free sampling technique, but when it was applied to isolated spike trains, its accuracy was not as high. Then, they used an integral function method and confirmed that it has high accuracy, even for isolated spike trains, with respect to the demodulation of the generation function.<>
  • Keywords
    bioelectric potentials; filtering and prediction theory; functions; neural nets; neurophysiology; physiological models; spectral analysis; alias-free sampling technique; generation function demodulation; integral function method; integral pulse frequency modulation model; low-pass-filtering technique; neuronal spike trains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
  • Conference_Location
    New Orleans, LA, USA
  • Print_ISBN
    0-7803-0785-2
  • Type

    conf

  • DOI
    10.1109/IEMBS.1988.94805
  • Filename
    94805