Review: Methods of firing rate estimation
Jazyk angličtina Země Irsko Médium print-electronic
Typ dokumentu časopisecké články, přehledy
PubMed
31163197
DOI
10.1016/j.biosystems.2019.103980
PII: S0303-2647(19)30149-2
Knihovny.cz E-zdroje
- Klíčová slova
- Bayesian rule, Firing rate, Kernel smoothing, Spike train, Time histogram,
- MeSH
- akční potenciály * MeSH
- algoritmy MeSH
- Bayesova věta MeSH
- interpretace statistických dat MeSH
- lidé MeSH
- modely neurologické MeSH
- neurony fyziologie MeSH
- pravděpodobnost MeSH
- stochastické procesy MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Neuronal firing rate is traditionally defined as the number of spikes per time window. The concept is essential for the rate coding hypothesis, which is still the most commonly investigated scenario in neuronal activity analysis. The estimation of dynamically changing firing rate from neural data can be challenging due to the variability of spike times, even under identical external conditions; hence a wide range of statistical measures have been employed to solve this particular problem. In this paper, we review established firing rate estimation methods, briefly summarize the technical aspects of each approach and discuss their practical applications.
Institute of Physiology of the Czech Academy of Sciences Videnska 1083 14220 Prague 4 Czech Republic
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