<div dir="ltr"><div>Hi guys, </div><div>Yes, we have introduced a few changes to improve the speed of eegplot, but those changes has not been released yet. However, you can get them from the development version in our git repo in Bitbucket (<a href="https://bitbucket.org/sccn_eeglab/eeglab">https://bitbucket.org/sccn_eeglab/eeglab</a>).</div><div> Check this post from the list for more details, (<a href="http://sccn.ucsd.edu/pipermail/eeglablist/2015/009237.html">http://sccn.ucsd.edu/pipermail/eeglablist/2015/009237.html</a>)</div><div>Hope this helps, </div><div> Ramon</div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Apr 1, 2015 at 3:10 PM, Makoto Miyakoshi <span dir="ltr"><<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr">Dear Peter,<div><br></div><div>There was a problem with real-time refreshing speed, especially to obtain the cursor position to read amplitude, in Matlab 2014b. Ramon has made a partial fix so that when the cursor is outside the plotting window it does not read the amplitude. I wonder in your case if the slowness is related to it...</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Tue, Mar 31, 2015 at 11:15 AM, Bachman, Peter <span dir="ltr"><<a href="mailto:bachmanpm@upmc.edu" target="_blank">bachmanpm@upmc.edu</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div><div>
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<p class="MsoNormal">Hi everyone,<u></u><u></u></p>
<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal">I’m wondering if anyone’s aware of any Matlab (R2014b, with EEGLAB 13_4_4b, set to single precision) or Windows (7) parameters I can change to increase how quickly I can scroll through continuous data (using pop_eegplot).
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<p class="MsoNormal">The particular continuous files are large (64 channels, 1024 Hz, 20 min) and I’d prefer not to downsample or split them; however, I should also have plenty of processing capacity (32 GB RAM and 28 cores).
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<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal">Is there anything I can do with swap file size or any graphic processor unit tweaks I can make to allow me to scroll through the continuous data without 5 or 6 sec of lag time?
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<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal">Thanks!<u></u><u></u></p>
<p class="MsoNormal">Pete<u></u><u></u></p>
<p class="MsoNormal"><u></u> <u></u></p>
<p class="MsoNormal"><span style="font-size:12pt;font-family:'Times New Roman',serif"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:8pt">Peter Bachman, PhD<br>
Neuroscience of Risk & Development Laboratory<br>
Department of Psychiatry<br>
University of Pittsburgh<br>
<a href="tel:%28412%29%20647-9465" value="+14126479465" target="_blank">(412) 647-9465</a><br>
<a href="mailto:bachmanpm@upmc.edu" target="_blank"><span style="color:blue">bachmanpm@upmc.edu</span></a></span><span style="font-size:8pt"><u></u><u></u></span></p>
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For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a><span><font color="#888888"><br></font></span></blockquote></div><span><font color="#888888"><br><br clear="all"><div><br></div>-- <br><div><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div><div dir="ltr"><div><span style="color:rgb(136,136,136)">_____________________________________________________</span><br></div><div><span style="color:rgb(136,136,136)">Ramon Martinez-Cancino</span></div><span style="color:rgb(136,136,136)">Swartz Center for Computational Neuroscience</span><br style="color:rgb(136,136,136)"><span style="color:rgb(136,136,136)">Institute for Neural Computation, University of California San Diego</span><br></div></div>
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