<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear Gilliano, <div><br></div><div>this has to be carried out through coding at the moment. Artifact probabilities are saved in </div><div>the field <EEG.reject.MARAinfo.posterior_artefactprob ></div><div><br></div><div>After calling MARA, you can label all components with higher posterior probability than 25% as artifacts by typing in Matlab:</div><div><br></div><div><div style="margin: 0px; "><div style="font-family: Courier; font-size: 12px; margin: 0px; ">EEG.reject.gcompreject = zeros(size(EEG.reject.gcompreject)); </div><div style="margin: 0px; "><div style="margin: 0px; "><font face="Courier">EEG.reject.gcompreject(EEG.reject.MARAinfo.posterior_artefactprob > 0.25) = 1;</font></div><div style="font-family: Courier; font-size: 12px; "><br></div></div><div style="font-family: Courier; font-size: 12px; margin: 0px; "><span style="font-family: Helvetica; font-size: medium; ">Best, </span></div><div style="font-family: Courier; font-size: 12px; margin: 0px; "><span style="font-family: Helvetica; font-size: medium; ">Irene</span></div><div style="font-family: Courier; font-size: 12px; margin: 0px; "><br></div></div></div><div apple-content-edited="true"><span class="Apple-style-span" style="border-collapse: separate; border-spacing: 0px; "><div>--</div><div>Irene Winkler <br>Technische Universität Berlin (TU Berlin)<br>Computer Science, Machine Learning Group<br>Marchstr. 23<br>Room MAR 4.034 (4th floor)<br>10587 Berlin</div><div>Tel: +49 30 314 78754</div><div><br></div></span></div><div apple-content-edited="true">
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