On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship

DOI10.1162/NECO_A_00748zbMath1414.92101arXiv1409.7137WikidataQ39006943 ScholiaQ39006943MaRDI QIDQ5380290

Shinsuke Koyama

Publication date: 4 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1409.7137

zbMATH Keywords

spike train variabilityvariance-to-mean power relationship

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20)

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Cites Work

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• Inhomogeneous and modulated gamma processes
• An Introduction to the Theory of Point Processes
• Differences in Spiking Patterns Among Cortical Neurons
• Achieving precise mechanical control in intrinsically noisy systems
• Empirical Bayes interpretations of random point events
• Information Transmission Using Non-Poisson Regular Firing

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