A review of the methods for neuronal response latency estimation
Jazyk angličtina Země Irsko Médium print-electronic
Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem, přehledy
PubMed
25939679
DOI
10.1016/j.biosystems.2015.04.008
PII: S0303-2647(15)00066-0
Knihovny.cz E-zdroje
- Klíčová slova
- Bayesian analysis, Change point analysis, Evoked activity, Extracellular recordings in neurons, Maximum likelihood estimation, Spike trains,
- MeSH
- akční potenciály fyziologie MeSH
- algoritmy * MeSH
- evokované potenciály fyziologie MeSH
- lidé MeSH
- modely neurologické * MeSH
- nervová síť fyziologie MeSH
- neurony fyziologie MeSH
- počítačová simulace MeSH
- reakční čas fyziologie MeSH
- statistické modely MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- srovnávací studie MeSH
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.
Institute for Stochastics Johannes Kepler University Linz Altenbergerstraße 69 4040 Linz Austria
Institute of Physiology The Czech Academy of Sciences Videnska 1083 14220 Prague 4 Czech Republic
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