• DocumentCode
    1601760
  • Title

    Quantifying the contribution of cross-correlation in stimulus feature discrimination in an ensemble of retinal ganglion cells

  • Author

    Niu, W.Q. ; Chen, A.H. ; Liang, P.J. ; Yuan, J.Q.

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ.
  • fYear
    2006
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    Based on Poisson variability, the strength of cross-correlation of two spike trains was quantified by a cross-correlation index (CCI). Discriminant analysis with CCI was used to quantify the contribution of cross-correlation in stimulus feature discrimination in an ensemble of retinal ganglion cells. Compared with simulated Poisson cell pair, it was found that cross-correlation carried useful information for stimulus feature discrimination and with the cross-correlation included in the analysis, the color and the intensity discrimination ability of a cell pair increase 4.2% and 2.7%, respectively
  • Keywords
    bioelectric phenomena; cellular biophysics; eye; neurophysiology; statistical analysis; stochastic processes; Poisson cell pair; Poisson variability; color discrimination; cross-correlation index; discriminant analysis; intensity discrimination; retinal ganglion cells; spike trains; stimulus feature discrimination; Automation; Biomedical engineering; Cells (biology); Color; Electrodes; Information analysis; Neurons; Physiology; Radiofrequency interference; Retina; Poisson train; correlogram; cross-correlation; discriminant analysis; retinal ganglion cells;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616435
  • Filename
    1616435