Daniele Marinazzo

Results 19 comments of Daniele Marinazzo

Dear @Moo-Marc 1. The code is just a faster one, the result is the same, you can check this script https://github.com/danielemarinazzo/test_brainstorm/blob/main/compare_PLV_ciPLV_wPLI_wPLIdb.m 2. You are right, I have now pushed a...

Hi I think you're right wrt to using HA and HB. I have now implemented the fixes in the test repo https://github.com/danielemarinazzo/test_brainstorm I have updated the PR for both the...

since this is taking long, wouldn't be good to merge this PR for the moment, which anyway clarifies things albeit some measures still need to be developed?

Sure nevermind. Just to be clear, this PR is not a fix for the trial averaging, it's just the current version, but with the non debiased wPLI, and the debiased...

causality.m is the main function, it calls other ones.

If your time series do not satisfy the stationarity criterion of your choice, then you should use a sliding window (if you have enough samples per window and/or multiple trials),...

and where are you using the trials? what is 500 and what is 35?

This indeed allows you to perform a time point by time point analysis, but not Granger causality since all data refers to the same time point. The minimal window should...

the repo or the function? The function causality.m computes Granger causality indeed. On Thu, 23 Nov 2023 at 18:20, manvirvirk ***@***.***> wrote: > @danielemarinazzo does this repo, > causality.m find...