• DocumentCode
    423719
  • Title

    Electrode-cell distance estimation method, based on spatial potential patterns of spiking cells

  • Author

    Somogyvári, Zoltán ; Borbáth, Gábor ; Zalányi, Lázló ; Ulbert, István ; Erdi, P.

  • Author_Institution
    Dept. of Biophys., Hungarian Acad. of Sci., Budapest, Hungary
  • Volume
    2
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    1487
  • Abstract
    The validity of monopole field approximation of the measured extracellular spatial potential patterns generated by spikes was examined. Instead of point source models, a new, counter current model was set up and circumstances of its validity were determined. Based on this model, a new principle for cell-electrode distance estimation was presented, which renewed the possibility of the cell localization. Finally the precision of the new distance estimation method was examined on simulated data and was applied on in vivo measurements.
  • Keywords
    bioelectric potentials; biomedical electrodes; biomedical measurement; cellular biophysics; pattern clustering; cell localization; computer simulation; counter current model; extracellular spatial potential patterns; in vivo measurements; monopole field approximation; point source models; spiking cells; Electric potential; Electrodes; Extracellular; Frequency; In vivo; Microelectrodes; Neurons; Pattern analysis; Sampling methods; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1380172
  • Filename
    1380172