<div dir="ltr"><div class="gmail_extra"><div>Dear Farzad,</div><div>Well.. We have been working on this issue during the week. Happily.... there is no major bug, the 'difference' you see in your plots are caused by some differences in the plot properties (colorbar 'caxis').. but the plotted matrix is the same. We are working to fix this 'makeup' issue in plotting the data. </div>
<div>However, if you want to bypass this situation until we fix it, you can change the 'caxis' property of your plot to make them look the same. We will release the fix ASAP, we just want to keep you updated.</div>
<div> Regards, </div><div>Ramon</div><div><br></div><div class="gmail_quote">On Mon, Jun 23, 2014 at 12:10 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 Farzad,<div><br></div><div>I replicated the problem with Ramon and he will start to investigate it.</div>
<div>Please wait for our next report.</div><span class=""><font color="#888888"><div><br></div><div>Makoto</div></font></span></div><div class=""><div class="h5"><div class="gmail_extra">
<br><br><div class="gmail_quote">On Mon, Jun 23, 2014 at 8:13 AM, Farzad Beheshti <span dir="ltr"><<a href="mailto:farzadbeheshti12@gmail.com" target="_blank">farzadbeheshti12@gmail.com</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 all,<div><br></div><div>I know I am disturbing you all.</div><div>Sorry for that.</div><div>But I desperately need to know If this is my mistake that the ERSP results appear like this.</div><div>Do you know anyone who has used newtimef() before, please?<br>
<div class="gmail_extra"><br></div><div class="gmail_extra">Regards</div><div><div><div class="gmail_extra"><br></div><div class="gmail_extra"><br></div><div class="gmail_extra"><br></div><div class="gmail_extra">
<br><div class="gmail_quote">
On Thu, Jun 19, 2014 at 11:07 AM, Farzad Beheshti <span dir="ltr"><<a href="mailto:farzadbeheshti12@gmail.com" target="_blank">farzadbeheshti12@gmail.com</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"><div><div><div class="gmail_extra" style="font-family:arial,sans-serif;font-size:12.727272033691406px">Dear Makoto</div><div class="gmail_extra" style="font-family:arial,sans-serif;font-size:12.727272033691406px">
<br>
</div><div class="gmail_extra" style="font-family:arial,sans-serif;font-size:12.727272033691406px">I also want to add that I do not think that representing data in t-statistics domain will make a big change comparing to representing data in voltage domain. T-statistics are somehow the signal to noise ratio. So, if you present data in statistics domain the figure should appear smoother. But the general pattern does not change.</div>
<div class="gmail_extra" style="font-family:arial,sans-serif;font-size:12.727272033691406px"><br></div><div class="gmail_extra" style="font-family:arial,sans-serif;font-size:12.727272033691406px">I do not know where is the problem. Something is going wrong that I do not understand. </div>
<div class="gmail_extra" style="font-family:arial,sans-serif;font-size:12.727272033691406px"><br></div><div class="gmail_extra" style="font-family:arial,sans-serif;font-size:12.727272033691406px"> Thanks </div></div>
</div><div><div><div class="gmail_extra">
<br><br><div class="gmail_quote">On Thu, Jun 19, 2014 at 10:51 AM, Farzad Beheshti <span dir="ltr"><<a href="mailto:farzadbeheshti12@gmail.com" target="_blank">farzadbeheshti12@gmail.com</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><div dir="ltr"><span style="font-family:arial,sans-serif;font-size:12.727272033691406px">Exactly Makoto. Thank you very much for your clarification.</span><div style="font-family:arial,sans-serif;font-size:12.727272033691406px">
Yes, why the survived blobs look different?</div><div style="font-family:arial,sans-serif;font-size:12.727272033691406px"><br></div><div style="font-family:arial,sans-serif;font-size:12.727272033691406px">Thank you</div>
</div>
</div><div><div><div class="gmail_extra"><br><br><div class="gmail_quote">On Thu, Jun 19, 2014 at 1:05 AM, 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">Sorry, I mean I was guessing the cause of the inconsistency Farzad pointed out.<div>
So he was asking that after statistical threshold masking, the remaining significant results should show the same blob patterns compared with unmasking results, but actually when the mask was applied the survived blobs look different. Why is this?</div>
<span><font color="#888888">
<div><br></div><div>Makoto</div></font></span></div><div><div><div class="gmail_extra"><br><br><div class="gmail_quote">On Wed, Jun 18, 2014 at 2:09 PM, Arnaud Delorme <span dir="ltr"><<a href="mailto:arno@ucsd.edu" target="_blank">arno@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 style="word-wrap:break-word">Hi Makoto,<div><br></div>
<div>Presenting T values or F values is not possible in the graphic interface. However, it is possible from the command line.</div>
<div>Use newtimef to compute the ERPS and statistics and retrieve this function's output. </div><div>Then use the function tftopo to plot the time-frequency images and you may provide as input statistics returned by the function above.</div>
<div><br></div><div>Same can be done at the STUDY level with std_erspplot and std_plottf.</div><div><br></div><div>Arno</div><div><div><div><br><div><div>On Jun 18, 2014, at 8:26 PM, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>> wrote:</div>
<br><blockquote type="cite"><div dir="ltr">Dear Farzad and Arno,<div><br></div><div>Ok I think I got it.</div><div>Arno, it is possible that after bootstrap testing you present t-score or something instead of the raw values in ERPS plots?</div>
<div><br>
</div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Jun 16, 2014 at 11:38 AM, 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 Farzad,<div><br></div><div>I don't see much difference... you know you are using different color scales i.e. 'erspmax', 2.5 vs. 'erspmax', 4. Why don't you use either 2.5 or 4 to make the comparison? Even better is to numerically compare 'ersp' that is the first variable in the output, which should show binary matching.</div>
<div><br></div><div>Makoto</div><div class="gmail_extra"><br><br><div class="gmail_quote"><div><div>On Wed, Jun 4, 2014 at 3:57 AM, Farzad Beheshti <span dir="ltr"><<a href="mailto:farzadbeheshti12@gmail.com" target="_blank">farzadbeheshti12@gmail.com</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><div dir="ltr">Dear EEGLAB users<div>
<br></div><div>I have a problem with newtimef().</div>
<div><br></div><div><span style="font-family:arial,sans-serif;font-size:13px">I am trying to plot the ERSP response for the difference of two conditions. I do not use a common baseline between conditions.</span><br>
</div><div><span style="font-family:arial,sans-serif;font-size:13px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:13px">It seems the ERSP figure before bootstraping does not match with the one after bootstraping, at all.</span><span style="font-family:arial,sans-serif;font-size:13px"><br>
</span></div><div><span style="font-family:arial,sans-serif;font-size:13px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:13px">please look at the results in the following link.</span></div><div>
<span style="font-family:arial,sans-serif;font-size:13px"> </span></div><div><font face="arial, sans-serif"><a href="https://drive.google.com/file/d/0B09QWUmbWKrEeTdDZDNkT25pb0E/edit?usp=sharing" target="_blank">https://drive.google.com/file/d/0B09QWUmbWKrEeTdDZDNkT25pb0E/edit?usp=sharing</a></font><br>
</div><div><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif">If we compare ERSP results in the two figures, condition1 - condition2 does not match. Do you have any idea? What is going on here?</font></div>
<div><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif"> Thanks</font></div><span><font color="#888888"><font face="arial, sans-serif"> Farzad </font></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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</blockquote></div><br><br clear="all"><div><br></div>-- <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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</blockquote></div><br></div></div></div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <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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