• DocumentCode
    2153229
  • Title

    A Method for Solving Overlap Problem in Spike Sorting Based on Genetic Algorithm

  • Author

    Hu, Su-Rui ; Dai, Min

  • Author_Institution
    Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Overlap decomposition is one of the difficulties in spike sorting. A method based on genetic algorithm is proposed to deal with the overlapped signal from two single waves in this paper. Specifically, with the reliable signal wave templates given, the methods for overlap signals and for single wave signals are used simultaneously to process the unknown data from the signal acquisition equipment, and then the best is selected as the final solution. The method for overlap signals is of genetic algorithm, while the one for single wave signals is of template matching. Genetic algorithm, or even intelligence algorithm is seldom adopted by the past work of dealing with overlapped signals in spike sorting and the simulation experiments indicate that the method put forward in this paper possesses satisfying accuracy and robustness.
  • Keywords
    biology computing; data mining; feature extraction; genetic algorithms; neural nets; neurophysiology; pattern clustering; signal classification; signal detection; sorting; data mining; feature extraction; genetic algorithm; human nervous system; intelligent algorithm; neuron spike sorting; overlap decomposition; overlapped signal problem; reliable single wave signal template matching; signal acquisition equipment; signal classification technique; signal clustering technique; simulation experiment; spike detection; Computer vision; Educational technology; Genetic algorithms; Genetic engineering; Neurons; Optical recording; Signal processing; Signal processing algorithms; Sorting; Systems engineering education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304015
  • Filename
    5304015