Review: Methods of firing rate estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F19%3A00511948" target="_blank" >RIV/67985823:_____/19:00511948 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.biosystems.2019.103980" target="_blank" >https://doi.org/10.1016/j.biosystems.2019.103980</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.biosystems.2019.103980" target="_blank" >10.1016/j.biosystems.2019.103980</a>

Result language
angličtina
Original language name
Review: Methods of firing rate estimation
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics

Project
<a href="/en/project/GA17-06943S" target="_blank" >GA17-06943S: Neural coding precision and its adaptation to the stimulus statistics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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