<div dir="ltr"><div><div>Hi Jan,<br><br></div>I've done electrophysiological research but am a beginner with MEG, and I'm using the data from the Centre for Cognitive Neuroimaging provided from and used in the fieldtrip tutorial website.<br><br></div>Ashley<br></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Sep 23, 2014 at 2:31 PM, jan-mathijs schoffelen <span dir="ltr"><<a href="mailto:jan.schoffelen@donders.ru.nl" target="_blank">jan.schoffelen@donders.ru.nl</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word">Hi Ashley,<div>Since your e-mail did not contain any background information with respect to the acquisition system you are using, I cannot be really to-the-point in my answer.</div><div>Ft_denoise_pca has been designed to operate on </div><div>1) MEG data, that</div><div>2) has been acquired on a system that has external reference channels.</div><div>I don’t know what reference channel you specified, but it seems you didn’t, and the function probably indeed defaulted to a value that caused the selection to be empty or so. But again, without additional info it’s hard to tell. </div><div>Best and good luck,</div><div>Jan-Mathijs</div><div><br></div><div><br></div><div><br></div><div><div><div><div class="h5"><div>On Sep 22, 2014, at 3:27 PM, Ashley Greene <<a href="mailto:agreene24@gmail.com" target="_blank">agreene24@gmail.com</a>> wrote:</div><br></div></div><blockquote type="cite"><div><div class="h5"><div dir="ltr"><div><div><div><div>Hello all,<br><br></div>I hope someone will be able to help with this. I'm trying to run the denoise_pca function on data after preprocessing, but I continue to get the following error:<br><br>Error using  ./ <br>Matrix dimensions must agree.<br><br>Error in ft_denoise_pca (line 193)<br>    s1   = s./max(s(:));<br><br></div>Could it be due to the use of the default for refchannel? Forgive me for asking such simple questions, but how do I go about choosing the reference channel? Do I just choose the cleanest channel from that particular set of preprocessed data?<br><br></div>Thanks in advance,<br><br></div>Ashley<br></div></div></div>
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<span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-align:-webkit-auto;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-align:-webkit-auto;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-align:-webkit-auto;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-align:-webkit-auto;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-align:-webkit-auto;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-align:-webkit-auto;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><span style="border-collapse:separate;color:rgb(0,0,0);font-family:Helvetica;font-style:normal;font-variant:normal;font-weight:normal;letter-spacing:normal;line-height:normal;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px"><div style="word-wrap:break-word"><div>Jan-Mathijs Schoffelen, MD PhD </div><div><br></div><div>Donders Institute for Brain, Cognition and Behaviour, <br>Centre for Cognitive Neuroimaging,<br>Radboud University Nijmegen, The Netherlands</div><div><br></div><div>Max Planck Institute for Psycholinguistics,</div><div>Nijmegen, The Netherlands</div><div><br></div><div><a href="mailto:J.Schoffelen@donders.ru.nl" target="_blank">J.Schoffelen@donders.ru.nl</a></div><div>Telephone: +31-24-3614793</div><div><br></div><div><a href="http://www.hettaligebrein.nl" target="_blank">http://www.hettaligebrein.nl</a></div></div></span></div></span></div></span></div></span></div></span></div></span></div></span></div></span></span>
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