[Mne_analysis] plotting whitened raw data

Olaf Hauk Olaf.Hauk at mrc-cbu.cam.ac.uk
Fri Jan 20 12:07:03 EST 2017
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If the whitening is applied to the data from which the covariance was computed (e.g. baseline periods in evoked data, the whole data set for continuous data), then I think the prediction should be the same. I would like to compare different covariance methods for empty room data, and such a plot method would be very useful.

Olaf



From: mne_analysis-bounces at nmr.mgh.harvard.edu [mailto:mne_analysis-bounces at nmr.mgh.harvard.edu] On Behalf Of Denis-Alexander Engemann
Sent: 14 January 2017 07:54
To: Discussion and support forum for the users of MNE Software
Subject: Re: [Mne_analysis] plotting whitened raw data

Would be interesting to think for a second what would be the normative prediction in that case (what should be in which value range after proper whitening) since what is a signal and what is noise is less obvious then, also potential implications for the power spectrum (could that possibly be used to summarize the data for visualization?).

Denis

On Sat, Jan 14, 2017 at 8:46 AM Alexandre Gramfort <alexandre.gramfort at telecom-paristech.fr<mailto:alexandre.gramfort at telecom-paristech.fr>> wrote:
hi Olaf,

no there is no such function but it could be added.

Alex


On Fri, Jan 13, 2017 at 5:35 PM, Olaf Hauk <Olaf.Hauk at mrc-cbu.cam.ac.uk<mailto:Olaf.Hauk at mrc-cbu.cam.ac.uk>> wrote:
> Hi,
>
>
>
> is there an equivalent of evoked.plot_white() for raw data? I would like to
> compare different covariance methods for whitening empty room data.
>
>
>
> Thanks,
>
>
>
> Olaf
>
>
>
>
>
> Olaf Hauk, PhD
>
> MRC Cognition and Brain Sciences Unit
>
> Phone: +44(0)1223 273702<tel:+44%201223%20273702>
>
> Fax: +44(0)1223 359062<tel:+44%201223%20359062>
>
> Web: http://www.mrc-cbu.cam.ac.uk/people/olaf.hauk/
>
>
>
>
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