A review of the methods for neuronal response latency estimation

Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

Standard

A review of the methods for neuronal response latency estimation. / Levakova, Marie; Tamborrino, Massimiliano; Ditlevsen, Susanne; Lansky, Petr.

I: BioSystems, Bind 136, 2015, s. 23-34.

Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

Harvard

Levakova, M, Tamborrino, M, Ditlevsen, S & Lansky, P 2015, 'A review of the methods for neuronal response latency estimation', BioSystems, bind 136, s. 23-34. https://doi.org/10.1016/j.biosystems.2015.04.008

APA

Levakova, M., Tamborrino, M., Ditlevsen, S., & Lansky, P. (2015). A review of the methods for neuronal response latency estimation. BioSystems, 136, 23-34. https://doi.org/10.1016/j.biosystems.2015.04.008

Vancouver

Levakova M, Tamborrino M, Ditlevsen S, Lansky P. A review of the methods for neuronal response latency estimation. BioSystems. 2015;136:23-34. https://doi.org/10.1016/j.biosystems.2015.04.008

Author

Levakova, Marie ; Tamborrino, Massimiliano ; Ditlevsen, Susanne ; Lansky, Petr. / A review of the methods for neuronal response latency estimation. I: BioSystems. 2015 ; Bind 136. s. 23-34.

Bibtex

@article{3614c753245d475f88b1075eaf867e36,
title = "A review of the methods for neuronal response latency estimation",
abstract = "Neuronal response latency is usually vaguely defined as the delay between the stimulus onset and the beginning of the response. It contains important information for the understanding of the temporal code. For this reason, the detection of the response latency has been extensively studied in the last twenty years, yielding different estimation methods. They can be divided into two classes, one of them including methods based on detecting an intensity change in the firing rate profile after the stimulus onset and the other containing methods based on detection of spikes evoked by the stimulation using interspike intervals and spike times. The aim of this paper is to present a review of the main techniques proposed in both classes, highlighting their advantages and shortcomings.",
author = "Marie Levakova and Massimiliano Tamborrino and Susanne Ditlevsen and Petr Lansky",
year = "2015",
doi = "10.1016/j.biosystems.2015.04.008",
language = "English",
volume = "136",
pages = "23--34",
journal = "BioSystems",
issn = "0303-2647",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A review of the methods for neuronal response latency estimation

AU - Levakova, Marie

AU - Tamborrino, Massimiliano

AU - Ditlevsen, Susanne

AU - Lansky, Petr

PY - 2015

Y1 - 2015

N2 - Neuronal response latency is usually vaguely defined as the delay between the stimulus onset and the beginning of the response. It contains important information for the understanding of the temporal code. For this reason, the detection of the response latency has been extensively studied in the last twenty years, yielding different estimation methods. They can be divided into two classes, one of them including methods based on detecting an intensity change in the firing rate profile after the stimulus onset and the other containing methods based on detection of spikes evoked by the stimulation using interspike intervals and spike times. The aim of this paper is to present a review of the main techniques proposed in both classes, highlighting their advantages and shortcomings.

AB - Neuronal response latency is usually vaguely defined as the delay between the stimulus onset and the beginning of the response. It contains important information for the understanding of the temporal code. For this reason, the detection of the response latency has been extensively studied in the last twenty years, yielding different estimation methods. They can be divided into two classes, one of them including methods based on detecting an intensity change in the firing rate profile after the stimulus onset and the other containing methods based on detection of spikes evoked by the stimulation using interspike intervals and spike times. The aim of this paper is to present a review of the main techniques proposed in both classes, highlighting their advantages and shortcomings.

U2 - 10.1016/j.biosystems.2015.04.008

DO - 10.1016/j.biosystems.2015.04.008

M3 - Review

C2 - 25939679

VL - 136

SP - 23

EP - 34

JO - BioSystems

JF - BioSystems

SN - 0303-2647

ER -

ID: 150272270