The effect of interspike interval statistics on the information gain under the rate coding hypothesis

DOI10.3934/mbe.2014.11.63zbMath1279.62219OpenAlexW2322269061WikidataQ51140508 ScholiaQ51140508MaRDI QIDQ395709

Shinsuke Koyama, Lubomir Kostal

Publication date: 30 January 2014

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2014.11.63

zbMATH Keywords

Fisher informationKullback-Leibler divergenceneural codingneural spike trainsrate-modulated renewal processes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of information, entropy (94A17) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (6)

Stein's neuronal model with pooled renewal input ⋮ The gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model ⋮ Efficient information transfer by Poisson neurons ⋮ Effect of spontaneous activity on stimulus detection in a simple neuronal model ⋮ Entropy factor for randomness quantification in neuronal data ⋮ On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship

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