<div dir="ltr">Dear Nithin,<div><br></div><div>Currently no GUI support for that unfortunately, so please follow Mikolaj's advice (thanks Mikolaj as usual).</div><div><br></div><div>For cross-frequency analysis, however, I recommend you use SIFT. It computes cross-frequency measures from a simple and crude way (with which you will have statistical problems when you have multiple ICs so be careful!) to the sophisticated way from which normalized measures are computed so that you can compare them across conditions/subjects.</div>
<div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2014-03-15 6:46 GMT-07:00 Nithin Krishna <span dir="ltr"><<a href="mailto:krisnithin@gmail.com" target="_blank">krisnithin@gmail.com</a>></span>:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="auto"><div>Dear EEG experts, </div><div>On the same lines of question, I wish to know if I could obtain time- frequency data, ITC and cross coherence. How to save data from the plot that I get, specifically ESRP, ITC and cross coherence after running time frequency analysis. </div>
<div>Any help in this regard will be deeply appreciated, thanks<span class="HOEnZb"><font color="#888888"><br><br>Nithin Krishna</font></span></div><div><div class="h5"><div><br>On Mar 13, 2014, at 7:05 PM, Marta Zakrzewska <<a href="mailto:marta.zakr@gmail.com" target="_blank">marta.zakr@gmail.com</a>> wrote:<br>
<br></div><blockquote type="cite"><div><div dir="ltr">If you want to plot the timecourse of your components' signal you can use eegplot<div>>> eegplot(EEG.icaact, 'srate', EEG.srate) </div><div><br></div>
<div>Note that you need to compute the icaact matrix first though - you can do it using eeg_getdataact function:<div>
<div>>> EEG.icaact = eeg_getdatact(EEG,'component', 1:size(EEG.icaweights, 1));<br></div><div><br></div>
<div>Hope it helps!</div></div></div><div><br></div><div>Marta Zakrzewska</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2014-03-13 14:13 GMT+01:00 joaquin .cuomo <span dir="ltr"><<a href="mailto:jmcuomo@gmail.com" target="_blank">jmcuomo@gmail.com</a>></span>:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div><div>Hi, <br><br></div>after doing ICA, how can I plot the decompose signals?<br><br></div>
<div>EEG = .....<br></div>icaact: []<br>icawinv: [7x7 double]<br>icasphere: [7x7 double]<br>icaweights: [7x7 double]<br>
icachansind: [1x7 double]<br>.....<br></div>(7 is the number of electrodes of my EEG system)<br><br></div>Thanks!<br></div>
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-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div>
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