Charactering neural spiking activity evoked by acupuncture through state-space model

DOI10.1016/j.apm.2014.09.005zbMath1432.62367OpenAlexW2015732593MaRDI QIDQ2337566

Jiang Wang, Qing Qin, Ming Xue, Bin Deng, Xi-Le Wei

Publication date: 20 November 2019

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2014.09.005

zbMATH Keywords

point processstate-space modelacupunctureimplicit stimulusZusanli

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20)

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Uses Software

• Fahrmeir

Cites Work

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• The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis
• Smoothness priors analysis of time series
• Estimating Instantaneous Irregularity of Neuronal Firing
• An Introduction to the Theory of Point Processes
• Estimating a State-Space Model from Point Process Observations
• Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering
• Multivariate statistical modelling based on generalized linear models.