Review: Methods of firing rate estimation

0511948 - FGÚ 2020 RIV IE eng J - Článek v odborném periodiku
Tomar, Rimjhim
Review: Methods of firing rate estimation.
Biosystems. Roč. 183, Sep (2019), č. článku 103980. ISSN 0303-2647. E-ISSN 1872-8324
Grant CEP: GA ČR(CZ) GA17-06943S
Institucionální podpora: RVO:67985823
Klíčová slova: firing rate * spike train * Bayesian rule * Kernel smoothing * time histogram
Obor OECD: Applied mathematics
Impakt faktor: 1.808, rok: 2019
Způsob publikování: Omezený přístup
https://doi.org/10.1016/j.biosystems.2019.103980

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.
Trvalý link: http://hdl.handle.net/11104/0302183