Estimating Instantaneous Irregularity of Neuronal Firing

DOI10.1162/neco.2009.08-08-841zbMath1168.92012OpenAlexW2146797675WikidataQ48687039 ScholiaQ48687039MaRDI QIDQ3497609

Takeaki Shimokawa, Shigeru Shinomoto

Publication date: 27 July 2009

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

Full work available at URL: https://doi.org/10.1162/neco.2009.08-08-841

zbMATH Keywords

Kalman filter

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Empirical decision procedures; empirical Bayes procedures (62C12)

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Cites Work

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• The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis
• Information Geometry of Interspike Intervals in Spiking Neurons
• Estimating Spiking Irregularities Under Changing Environments
• Covariances for smoothed estimates in state space models
• Inhomogeneous and modulated gamma processes
• A geometrical derivation of the fixed interval smoothing algorithm
• Estimating a State-Space Model from Point Process Observations
• Differences in Spiking Patterns Among Cortical Neurons
• Empirical Bayes interpretations of random point events

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