A review of the methods for neuronal response latency
estimation

J 2015

A review of the methods for neuronal response latency estimation

LEVÁKOVÁ, Marie, Massimiliano TAMBORRINO, Susanne DITLEVSEN and Petr LÁNSKÝ

Basic information

Original name

A review of the methods for neuronal response latency estimation

Authors

LEVÁKOVÁ, Marie, Massimiliano TAMBORRINO, Susanne DITLEVSEN and Petr LÁNSKÝ

Edition

BioSystems, Elsevier, 2015, 0303-2647

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10103 Statistics and probability

Country of publisher

Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 1.495

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1016/j.biosystems.2015.04.008

UT WoS

000366535200004

Keywords in English

change point analysis; evoked activity; maximum likelihood estimation; Bayesian analysis; spike trains; extracellular recordings in neurons

Abstract

V originále

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.

Citovat

LEVÁKOVÁ, Marie, Massimiliano TAMBORRINO, Susanne DITLEVSEN and Petr LÁNSKÝ. A review of the methods for neuronal response latency estimation. BioSystems. Elsevier, 2015, vol. 136, No 1, p. 23-34. ISSN 0303-2647. Available from: https://dx.doi.org/10.1016/j.biosystems.2015.04.008.

@article{1309093,
   author = {Leváková, Marie and Tamborrino, Massimiliano and Ditlevsen, Susanne and Lánský, Petr and Lánský, Petr},
   article_number = {1},
   doi = {http://dx.doi.org/10.1016/j.biosystems.2015.04.008},
   keywords = {change point analysis; evoked activity; maximum likelihood estimation; Bayesian analysis; spike trains; extracellular recordings in neurons},
   language = {eng},
   issn = {0303-2647},
   journal = {BioSystems},
   note = {Žádný z autorů nemá afiliaci na MU.},
   title = {A review of the methods for neuronal response latency estimation},
   url = {http://dx.doi.org/10.1016/j.biosystems.2015.04.008},
   volume = {136},
   year = {2015}
}

TY  - JOUR
ID  - 1309093
AU  - Leváková, Marie - Tamborrino, Massimiliano - Ditlevsen, Susanne - Lánský, Petr - Lánský, Petr
PY  - 2015
TI  - A review of the methods for neuronal response latency estimation
JF  - BioSystems
VL  - 136
IS  - 1
SP  - 23-34
EP  - 23-34
PB  - Elsevier
SN  - 03032647
N1  - Žádný z autorů nemá afiliaci na MU.
KW  - change point analysis
KW  - evoked activity
KW  - maximum likelihood estimation
KW  - Bayesian analysis
KW  - spike trains
KW  - extracellular recordings in neurons
UR  - http://dx.doi.org/10.1016/j.biosystems.2015.04.008
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.
ER  -

LEVÁKOVÁ, Marie, Massimiliano TAMBORRINO, Susanne DITLEVSEN and Petr LÁNSKÝ. A review of the methods for neuronal response latency estimation. \textit{BioSystems}. Elsevier, 2015, vol.~136, No~1, p.~23-34. ISSN~0303-2647. Available from: https://dx.doi.org/10.1016/j.biosystems.2015.04.008.

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