[Mne_analysis] baseline correction

[Mainak Jas]

Hi,

They should be the same but I would use (None, 0) because it would work
even if you change tmin. Otherwise, no difference.

Mainak

On Mon, Apr 9, 2018 at 1:55 PM, Gertjan De Mulder <gertjan.demulder at ugent.be
> wrote:

> Hi,
>
> The goal is to create Epochs with a baseline correction.
> Assuming event with id=8 indicates the start of a stimulus with a 40sec
> duration.
> The 5 seconds prior to that event (id=8) are considered as the baseline.
>
> I would like to know if I understand the epochs-initialization correctly.
>
> My parameters for the Epochs constructor are as follows:
> tmin = -5
> tmax = 40
> baseline = (-5, 0)
>
> Or is it safer/better to set baseline to (None, 0) ?
>
> Conceptually:
>
> |----------------------------------------> time
> |<- 5s ->|<-   40 sec ->|
>        8
>
>
> Kind Regards,
> Gertjan
>
> On 8 apr. 2018 18:01 +0200, mne_analysis-request at nmr.mgh.harvard.edu,
> wrote:
>
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> 1. Re: Virtual electrode/sensor (Alexandre Gramfort)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 8 Apr 2018 15:55:10 +0200
> From: Alexandre Gramfort <alexandre.gramfort at inria.fr
> Subject: Re: [Mne_analysis] Virtual electrode/sensor
> To: Discussion and support forum for the users of MNE Software
> <mne_analysis at nmr.mgh.harvard.edu
> Message-ID:
> <CADeotZqsYmcX9-uDEohv+29VaS+SK8kaBjB4MsygWKjDSO-R5Q at mail.gmail.com
> Content-Type: text/plain; charset="utf-8"
>
> hi Karin,
>
> what you call "virtual electrode" is what people commonly refer to as
> a beamforming method. We have LCMV and DICS implemented in MNE-Python.
> See our examples and documentation on beamforming.
> As a side note, I find the term virtual electrode a bit misleading as you
> still
> need to solve an inverse problem. To me it's just a linear inverse method
> among many variants.
>
> HTH
> Alex
>
>
> On Sat, Apr 7, 2018 at 5:38 PM, Karin Westin <karin.westin85 at gmail.com
> wrote:
>
> Hi everyone!
>
> I'm currently working on source localization of epileptic spikes in MEG
> data, and I would like to create a "virutal sensor", ie a signal with the
> same appereance as if one were to put a sensor exactly in the region
> creating the epileptic spikes. I know that this is possible using Matlab
> Field Trip, but is there an (easy) way of doing it using MNE Python
> instead?
>
> Thanks and best,
>
> Karin
>
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