Hybrid Cubature Kalman filtering for identifying nonlinear models from sampled recording: Estimation of neuronal dynamics

Kalman filtering methods have long been regarded as efficient adaptive Bayesian techniques for estimating hidden states in models of linear dynamical systems under Gaussian uncertainty. Recent advents of the Cubature Kalman filter (CKF) have extended this efficient estimation property to nonlinear s...

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Bibliographic Details
Published in:PLoS One
Main Authors: Madi, Mahmoud K., Karameh, Fadi N.
Format: Artigo
Language:Inglês
Published: Public Library of Science 2017
Subjects:
Research Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5519212/
https://ncbi.nlm.nih.gov/pubmed/28727850
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0181513
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