A review of the methods for neuronal response latency estimation
Language English Country Ireland Media print-electronic
Document type Comparative Study, Journal Article, Research Support, Non-U.S. Gov't, Review
PubMed
25939679
DOI
10.1016/j.biosystems.2015.04.008
PII: S0303-2647(15)00066-0
Knihovny.cz E-resources
- Keywords
- Bayesian analysis, Change point analysis, Evoked activity, Extracellular recordings in neurons, Maximum likelihood estimation, Spike trains,
- MeSH
- Action Potentials physiology MeSH
- Algorithms * MeSH
- Evoked Potentials physiology MeSH
- Humans MeSH
- Models, Neurological * MeSH
- Nerve Net physiology MeSH
- Neurons physiology MeSH
- Computer Simulation MeSH
- Reaction Time physiology MeSH
- Models, Statistical MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Comparative Study 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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