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
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;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1380172