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Automatic objective thresholding to detect neuronal action potentials

Tutkimustuotosvertaisarvioitu

Standard

Automatic objective thresholding to detect neuronal action potentials. / Tanskanen, Jarno M.A.; Kapucu, Fikret E.; Välkki, Inkeri; Hyttinen, Jari A.K.

Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO). 2016. s. 662-666.

Tutkimustuotosvertaisarvioitu

Harvard

Tanskanen, JMA, Kapucu, FE, Välkki, I & Hyttinen, JAK 2016, Automatic objective thresholding to detect neuronal action potentials. julkaisussa Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO). Sivut 662-666, EUROPEAN SIGNAL PROCESSING CONFERENCE, 1/01/00. https://doi.org/10.1109/EUSIPCO.2016.7760331

APA

Tanskanen, J. M. A., Kapucu, F. E., Välkki, I., & Hyttinen, J. A. K. (2016). Automatic objective thresholding to detect neuronal action potentials. teoksessa Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO) (Sivut 662-666) https://doi.org/10.1109/EUSIPCO.2016.7760331

Vancouver

Tanskanen JMA, Kapucu FE, Välkki I, Hyttinen JAK. Automatic objective thresholding to detect neuronal action potentials. julkaisussa Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO). 2016. s. 662-666 https://doi.org/10.1109/EUSIPCO.2016.7760331

Author

Tanskanen, Jarno M.A. ; Kapucu, Fikret E. ; Välkki, Inkeri ; Hyttinen, Jari A.K. / Automatic objective thresholding to detect neuronal action potentials. Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO). 2016. Sivut 662-666

Bibtex - Lataa

@inproceedings{6a415e4deb3a4eb2a3ed5a26757f100d,
title = "Automatic objective thresholding to detect neuronal action potentials",
abstract = "In this paper, we introduce a fully objective method to set thresholds (THs) for neuronal action potential spike detection from extracellular field potential signals. Although several more sophisticated methods exist, thresholding is still the most used spike detection method. In general, it is employed by setting a TH as per convention or operator decision, and without considering either the undetected or spurious spikes. Here, we demonstrate with both simulations and real microelectrode measurement data that our method can fully automatically and objectively yield THs comparable to those set by an expert operator. A Matlab function implementation of the method is described, and provided freely in Matlab Central File Exchange.",
keywords = "Neuronal action potential, Thresholding, Spike detection, Microelectrode array, Electric field potential",
author = "Tanskanen, {Jarno M.A.} and Kapucu, {Fikret E.} and Inkeri V{\"a}lkki and Hyttinen, {Jari A.K.}",
year = "2016",
month = "8",
day = "29",
doi = "10.1109/EUSIPCO.2016.7760331",
language = "English",
isbn = "978-1-5090-1891-8",
pages = "662--666",
booktitle = "Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO)",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Automatic objective thresholding to detect neuronal action potentials

AU - Tanskanen, Jarno M.A.

AU - Kapucu, Fikret E.

AU - Välkki, Inkeri

AU - Hyttinen, Jari A.K.

PY - 2016/8/29

Y1 - 2016/8/29

N2 - In this paper, we introduce a fully objective method to set thresholds (THs) for neuronal action potential spike detection from extracellular field potential signals. Although several more sophisticated methods exist, thresholding is still the most used spike detection method. In general, it is employed by setting a TH as per convention or operator decision, and without considering either the undetected or spurious spikes. Here, we demonstrate with both simulations and real microelectrode measurement data that our method can fully automatically and objectively yield THs comparable to those set by an expert operator. A Matlab function implementation of the method is described, and provided freely in Matlab Central File Exchange.

AB - In this paper, we introduce a fully objective method to set thresholds (THs) for neuronal action potential spike detection from extracellular field potential signals. Although several more sophisticated methods exist, thresholding is still the most used spike detection method. In general, it is employed by setting a TH as per convention or operator decision, and without considering either the undetected or spurious spikes. Here, we demonstrate with both simulations and real microelectrode measurement data that our method can fully automatically and objectively yield THs comparable to those set by an expert operator. A Matlab function implementation of the method is described, and provided freely in Matlab Central File Exchange.

KW - Neuronal action potential

KW - Thresholding

KW - Spike detection

KW - Microelectrode array

KW - Electric field potential

U2 - 10.1109/EUSIPCO.2016.7760331

DO - 10.1109/EUSIPCO.2016.7760331

M3 - Conference contribution

SN - 978-1-5090-1891-8

SP - 662

EP - 666

BT - Proceedings of 2016 24th European Signal Processing Conference (EUSIPCO)

ER -