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<span style="font-kerning: none;">Hi Narjes, </span></p>
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<span style="font-kerning: none;">The current status of ft_crossfrequencyanalysis can be tracked here: <a href="http://bugzilla.fieldtriptoolbox.org/show_bug.cgi?id=2523" id="LPlnk185301"><span style="text-decoration: underline; font-kerning: none; color: rgb(71, 135, 255); -webkit-text-stroke: 0px rgb(71, 135, 255);">http://bugzilla.fieldtriptoolbox.org/show_bug.cgi?id=2523</span></a> .
It’s not currently implemented in full yet.</span></p>
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<span style="font-kerning: none;">An alternative is the python library PACPY and associated MATLAB wrapper PACMAT <a href="https://github.com/voytekresearch/pacpy"><span style="text-decoration: underline; font-kerning: none; color: rgb(71, 135, 255); -webkit-text-stroke: 0px rgb(71, 135, 255);">https://github.com/voytekresearch/pacpy</span></a>.</span></p>
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<span style="font-kerning: none;">An example of some CFC code (based on the Tort et al 2008 approach) can be found here:</span></p>
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<span style="text-decoration: underline; font-kerning: none;"><a href="https://github.com/neurofractal/PAC_aliens/blob/master/calc_MI.m">https://github.com/neurofractal/PAC_aliens/blob/master/calc_MI.m</a></span></p>
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<span style="font-kerning: none;">Good luck! </span></p>
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<span style="font-kerning: none;">Robert</span></p>
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