[Mne_analysis] How is the baseline correction calculated?

[Jaakko Leppäkangas]

Hi Emanuela,

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:

mean = np.mean(data[..., imin:imax], axis=-1)[..., None]
data -= mean

, where the baseline runs from imin to imax. And yes this should be
documented better. I'll make the issue to github.

-Jaakko

On 5 September 2016 at 14:48, Emanuela Liaci <emanuela.liaci at gmail.com>
wrote:

> Hi,
>
> 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.
>
> 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.
>
> How come? Can I have a more detailed explanation of how the baseline
> correction is applied?
>
> Many thanks,
> Emanuela Liaci
>
>
>
>
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