2017
DOI: 10.1007/s00422-017-0717-y
|View full text |Cite
|
Sign up to set email alerts
|

Note on the coefficient of variations of neuronal spike trains

Abstract: It is known that many neurons in the brain show spike trains with a coefficient of variation (CV) of the interspike times of approximately 1, thus resembling the properties of Poisson spike trains. Computational studies have been able to reproduce this phenomenon. However, the underlying models were too complex to be examined analytically. In this paper, we offer a simple model that shows the same effect but is accessible to an analytic treatment. The model is a random walk model with a reflecting barrier; we … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 23 publications
0
3
0
Order By: Relevance
“…The results of ANOVA demonstrated that the extraction time and extraction power (BD) had a significant (p < 0.05) negative effect on the comprehensive evaluation value ( Table 1). The coefficient of variation (CV) is defined as the quotient of standard deviation and mean value [36,37]. CV was used for analyzing the statistical data.…”
Section: Discussionmentioning
confidence: 99%
“…The results of ANOVA demonstrated that the extraction time and extraction power (BD) had a significant (p < 0.05) negative effect on the comprehensive evaluation value ( Table 1). The coefficient of variation (CV) is defined as the quotient of standard deviation and mean value [36,37]. CV was used for analyzing the statistical data.…”
Section: Discussionmentioning
confidence: 99%
“…2008; Paprocki and Szczepanski 2011, 2013a, b; Urner et al. 2013; Lengler and Steger 2017; Voronenko and Lindner 2018). The problem of coding and decoding spike trains is central both to understanding how neurons process information (Rieke et al.…”
Section: Methodsmentioning
confidence: 99%
“…irregular, continues to be a topic of scientific discussion. [4,5,[18][19][20][21][22] A standard measure of irregularity is the coefficient of variation c V of the inter-spike interval (ISI). With c V equal to 1, the Poisson process divides the landscape of stochastic time series into more regular processes with small fluctuations and c V < 1 on the one hand, and on the other hand, highly irregular ones with large fluctuations and c V > 1.…”
Section: Introductionmentioning
confidence: 99%