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

Zoltán Somogyvári, Gábor Borbáth, László Zalányi, István Ulbert, Péter Érdi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2004 IEEE International Joint Conference on Neural Networks - Proceedings
Pages1487-1491
Number of pages5
DOIs
Publication statusPublished - Dec 1 2004
Event2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary
Duration: Jul 25 2004Jul 29 2004

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume2
ISSN (Print)1098-7576

Other

Other2004 IEEE International Joint Conference on Neural Networks - Proceedings
CountryHungary
CityBudapest
Period7/25/047/29/04

    Fingerprint

ASJC Scopus subject areas

  • Software

Cite this

Somogyvári, Z., Borbáth, G., Zalányi, L., Ulbert, I., & Érdi, P. (2004). Electrode-cell distance estimation method, based on spatial potential patterns of spiking cells. In 2004 IEEE International Joint Conference on Neural Networks - Proceedings (pp. 1487-1491). (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 2). https://doi.org/10.1109/IJCNN.2004.1380172