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
0.0
(0)
626 Downloads
Updated 15 Apr 2014

View License

[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 (2026). 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
Categories
Find more on Frequently-used Algorithms in Help Center and MATLAB Answers
Tags Add Tags
Open in new tab
Version Published Release Notes
1.0.0.0