Permutation Conditional Mutual Information (PCMI)

Version 1.0.0.0 (61,4 KB) von Gaoxiang Ouyang
Estimation of a directionality index between two time series
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Aktualisiert 15 Apr 2014

Lizenz anzeigen

[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

Zitieren als

Gaoxiang Ouyang (2024). Permutation Conditional Mutual Information (PCMI) (https://www.mathworks.com/matlabcentral/fileexchange/46246-permutation-conditional-mutual-information-pcmi), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2012a
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Version Veröffentlicht Versionshinweise
1.0.0.0