<div dir="ltr"><div>Dear Germano,</div><div><br></div><div>Check out Tim Mullen's SIFT.</div><div><a href="http://sccn.ucsd.edu/wiki/SIFT">http://sccn.ucsd.edu/wiki/SIFT</a><br></div><a href="http://sccn.ucsd.edu/mediawiki/images/d/d2/SIFT_manual_0.1a.pdf">http://sccn.ucsd.edu/mediawiki/images/d/d2/SIFT_manual_0.1a.pdf</a><br>
<div><br></div><div><span style="color:rgb(7,55,99);font-family:verdana,sans-serif">> (3) Do the number of trials per condition influence the computation of the magnitude squared coherence?</span><br></div><div><br></div>
<div>I guess so. More trials, more computation, better SNR.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Wed, Jul 2, 2014 at 2:30 AM, Germano Gallicchio <span dir="ltr"><<a href="mailto:germano.gallicchio@gmail.com" target="_blank">germano.gallicchio@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small;color:rgb(7,55,99)">Dear EEGLAB users,<br>
<br>I am computing the magnitude squared coherence between electrode pairs.<br><br>(1) Is there any EEGLAB function to compute this specific kind of coherence measure?<br>
<br>(2) I am currently using the MATLAB function mscohere(), which takes several arguments including the 2 vectors that I want to compare.<br>Naturally I have several trials per condition and I am not sure which of the following procedures is the correct one: <br>
a. average trials per condition (like I would do for ERPs) and then compute the coherence over these trial-averaged vectors<br>b. compute coherence for each trial and then average the single-trial coherence, per condition<br>
Could any of you please help me select the right procedure?<br><br>(3) Do the number of trials per condition influence the computation of the magnitude squared coherence?<br><br>Thanks for your time.<br><br>All the best<span class="HOEnZb"><font color="#888888"><br>
Germano<br clear="all"></font></span></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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