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Permutation Conditional Mutual Information (PCMI)

version 1.0.0.0 (61.4 KB) by Gaoxiang Ouyang
Estimation of a directionality index between two time series

574 Downloads

Updated 15 Apr 2014

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[Dxy,Ixy,Iyx] = CMI_PE_tau(X,Y,ord,t,Tau)
PCMI: a novel methodology based on permutation analysis and conditional mutual information for estimation of a directionality index between two time series.
Xiaoli Li, Gaoxiang Ouyang, Estimating coupling direction between neuronal populations with permutation conditional mutual information, NeuroImage, 2010,52:497-507

Cite As

Gaoxiang Ouyang (2021). Permutation Conditional Mutual Information (PCMI) (https://www.mathworks.com/matlabcentral/fileexchange/46246-permutation-conditional-mutual-information-pcmi), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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