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• W2947906403 endingPage "103980" @default.
• W2947906403 startingPage "103980" @default.
• W2947906403 abstract "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." @default.
• W2947906403 created "2019-06-07" @default.
• W2947906403 creator A5077033153 @default.
• W2947906403 date "2019-09-01" @default.
• W2947906403 modified "2023-09-26" @default.
• W2947906403 title "Review: Methods of firing rate estimation" @default.
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• W2947906403 doi "https://doi.org/10.1016/j.biosystems.2019.103980" @default.
• W2947906403 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31163197" @default.
• W2947906403 hasPublicationYear "2019" @default.
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