Identification of noisy response latency

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Standard

Identification of noisy response latency. / Tamborrino, Massimiliano; Ditlevsen, Susanne; Lansky, Petr.

I: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Bind 86, 23.08.2012, s. Art. 021128.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Tamborrino, M, Ditlevsen, S & Lansky, P 2012, 'Identification of noisy response latency', Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), bind 86, s. Art. 021128. <http://pre.aps.org/abstract/PRE/v86/i2/e021128>

APA

Tamborrino, M., Ditlevsen, S., & Lansky, P. (2012). Identification of noisy response latency. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 86, Art. 021128. http://pre.aps.org/abstract/PRE/v86/i2/e021128

Vancouver

Tamborrino M, Ditlevsen S, Lansky P. Identification of noisy response latency. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 2012 aug. 23;86:Art. 021128.

Author

Tamborrino, Massimiliano ; Ditlevsen, Susanne ; Lansky, Petr. / Identification of noisy response latency. I: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 2012 ; Bind 86. s. Art. 021128.

Bibtex

@article{df52cfc92f32470ba84a834b89b0934a,
title = "Identification of noisy response latency",
abstract = "In many physical systems there is a time delay before an applied input (stimulation) has an impact on the output (response), and the quantification of this delay is of paramount interest. If the response can only be observed on top of an indistinguishable background signal, the estimation can be highly unreliable, unless the background signal is accounted for in the analysis. In fact, if the background signal is ignored, however small it is compared to the response and however large the delay is, the estimate of the time delay will go to zero for any reasonable estimator when increasing the number of observations. Here we propose a unified concept of response latency identification in event data corrupted by a background signal. It is done in the context of information transfer within a neural system, more specifically on spike trains from single neurons. The estimators are compared on simulated data and the most suitable for specific situations are recommended.",
author = "Massimiliano Tamborrino and Susanne Ditlevsen and Petr Lansky",
year = "2012",
month = aug,
day = "23",
language = "English",
volume = "86",
pages = "Art. 021128",
journal = "Physical Review E",
issn = "2470-0045",
publisher = "American Physical Society",

}

RIS

TY - JOUR

T1 - Identification of noisy response latency

AU - Tamborrino, Massimiliano

AU - Ditlevsen, Susanne

AU - Lansky, Petr

PY - 2012/8/23

Y1 - 2012/8/23

N2 - In many physical systems there is a time delay before an applied input (stimulation) has an impact on the output (response), and the quantification of this delay is of paramount interest. If the response can only be observed on top of an indistinguishable background signal, the estimation can be highly unreliable, unless the background signal is accounted for in the analysis. In fact, if the background signal is ignored, however small it is compared to the response and however large the delay is, the estimate of the time delay will go to zero for any reasonable estimator when increasing the number of observations. Here we propose a unified concept of response latency identification in event data corrupted by a background signal. It is done in the context of information transfer within a neural system, more specifically on spike trains from single neurons. The estimators are compared on simulated data and the most suitable for specific situations are recommended.

AB - In many physical systems there is a time delay before an applied input (stimulation) has an impact on the output (response), and the quantification of this delay is of paramount interest. If the response can only be observed on top of an indistinguishable background signal, the estimation can be highly unreliable, unless the background signal is accounted for in the analysis. In fact, if the background signal is ignored, however small it is compared to the response and however large the delay is, the estimate of the time delay will go to zero for any reasonable estimator when increasing the number of observations. Here we propose a unified concept of response latency identification in event data corrupted by a background signal. It is done in the context of information transfer within a neural system, more specifically on spike trains from single neurons. The estimators are compared on simulated data and the most suitable for specific situations are recommended.

M3 - Journal article

VL - 86

SP - Art. 021128

JO - Physical Review E

JF - Physical Review E

SN - 2470-0045

ER -

ID: 40770600