<div dir="ltr"><div><div>Hi Emanuela,<br><br></div>I assume you do the baselining when constructing the epochs (mne.Epochs(..., baseline=baseline))? It simply subtracts the mean over the baseline period. So the effective lines of code boil down to:<br><pre style="background-color:rgb(255,255,255);color:rgb(0,0,0);font-family:"dejavu sans mono";font-size:9pt">mean = np.mean(data[..., imin:imax], <span style="color:rgb(102,0,153)">axis</span>=-<span style="color:rgb(0,0,255)">1</span>)[..., <span style="color:rgb(0,0,128)">None</span>]<br>data -= <span style="background-color:rgb(228,228,255)">mean</span><br><br></pre>, where the baseline runs from imin to imax. And yes this should be documented better. I'll make the issue to github.<br><br></div>-Jaakko<br></div><div class="gmail_extra"><br><div class="gmail_quote">On 5 September 2016 at 14:48, Emanuela Liaci <span dir="ltr"><<a href="mailto:emanuela.liaci@gmail.com" target="_blank">emanuela.liaci@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">Hi,<div><br></div><div>I am comparing the evoke data of one subject between my script in Python with mne package and the script in IGOR pro that my lab used so far. </div><div><br></div><div>I gave the following time interval for baseline correction to both: baseline = (-0.060, 0.040). I noticed that the values of the average change: for each electrode there is always the same difference (between Python and IGOR) across data points. </div><div><br></div><div>How come? Can I have a more detailed explanation of how the baseline correction is applied?</div><div><br></div><div>Many thanks,</div><div>Emanuela Liaci</div><div><br></div><div><br></div><div><br></div></div>
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