• DocumentCode
    2885255
  • Title

    Pattern recognition in spike trains

  • Author

    Chen Ziaoying ; Zhenming, Chai

  • Author_Institution
    Inst. of Electron., Acad. Sinica, Beijing, China
  • fYear
    1991
  • fDate
    16-17 Jun 1991
  • Firstpage
    365
  • Abstract
    The modern neuroelectrical physiology indicates that there are certain patterns in neural spike trains which appear more frequently than others. These favored patterns (FP) may be related to the mechanism of neural information processing in central nervous system. This paper describes the quantized Monte Carlo method and template method which are used in FP recognition. The Monte Carlo method determines the FP candidates. The template method chooses FP from the candidates and counts the number of the FP in the spike train. This work will be pursued for extracting the FP in some complicated spike train
  • Keywords
    Monte Carlo methods; bioelectric potentials; computerised pattern recognition; neurophysiology; favored patterns; neural information processing; neural spike trains; neuroelectrical physiology; quantized Monte Carlo method; template method; Central nervous system; Data mining; Flowcharts; Information processing; Magnetic separation; Magnetic shielding; Pattern recognition; Physiology; Quantization; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICCAS.1991.184362
  • Filename
    184362