Statistics of inverse interspike intervals: The instantaneous firing rate revisited
Language English Media print
Document type Journal Article
PubMed
30384662
DOI
10.1063/1.5036831
Knihovny.cz E-resources
- MeSH
- Action Potentials * MeSH
- Axons physiology MeSH
- Humans MeSH
- Models, Neurological MeSH
- Nerve Net * MeSH
- Synaptic Transmission MeSH
- Neurons physiology MeSH
- Normal Distribution MeSH
- Computer Simulation MeSH
- Poisson Distribution MeSH
- Probability MeSH
- Models, Statistical MeSH
- Stochastic Processes MeSH
- Synapses MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
The rate coding hypothesis is the oldest and still one of the most accepted and investigated scenarios in neuronal activity analyses. However, the actual neuronal firing rate, while informally understood, can be mathematically defined in several different ways. These definitions yield distinct results; even their average values may differ dramatically for the simplest neuronal models. Such an inconsistency, together with the importance of "firing rate," motivates us to revisit the classical concept of the instantaneous firing rate. We confirm that different notions of firing rate can in fact be compatible, at least in terms of their averages, by carefully discerning the time instant at which the neuronal activity is observed. Two general cases are distinguished: either the inspection time is synchronised with a reference time or with the neuronal spiking. The statistical properties of the instantaneous firing rate, including parameter estimation, are analyzed, and compatibility with the intuitively understood concept is demonstrated.
Institute of Physiology of the Czech Academy of Sciences Videnska 1083 14220 Prague 4 Czech Republic
References provided by Crossref.org
Variability and Randomness of the Instantaneous Firing Rate
Fano Factor: A Potentially Useful Information