<br><br><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi Raquel, <div>It is usually recommended to clean up all your data, broadly, i.e. remove bad channels, remove large artifacts, HP filter, put to common average <b>before</b> you run ICA, for good results. You might wanna refer to Makoto's prep pipeline: <a href="https://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline" target="_blank">https://sccn.ucsd.<wbr>edu/wiki/Makoto's_<wbr>preprocessing_pipeline</a></div><div><br></div><div>Bests,</div><div>Akshay</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Aug 30, 2016 at 11:38 PM, Raquel London <span dir="ltr"><<a href="javascript:_e(%7B%7D,'cvml','raquellondon@gmail.com');" target="_blank">raquellondon@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">Dear eeglabbers,<div><br></div><div>I'm using an average reference for my experiment, and I want to try and use ICA to clean up some dirty electrodes to avoid having to throw them out.</div><div>Is it OK to do this first (run ICA, throw out any electrodes that could not be cleaned with ICA) and then afterwards do the rereferencing to the average? </div><div><br></div><div>Thank you!</div><span><font color="#888888"><div>Raquel</div></font></span></div>
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</blockquote><br><br>-- <br><div dir="ltr"><div><div dir="ltr"><div dir="ltr">Akshay Raj Maggu, <div><span style="font-size:12.8px">Laboratory for Language, Learning and the Brain,</span><br></div><div>Department of Linguistics and Modern Languages, </div><div>The Chinese University of Hong Kong, </div><div>Hong Kong.</div><div>Webpage: <a href="http://www.cuhk.edu.hk/lin/new/people/students/maggu/" target="_blank">http://www.cuhk.edu.hk/lin/new/people/students/maggu/</a></div><div><i>Save trees.. Save life! Please don't print this email unless you really need to.....</i></div></div></div></div></div><br>