[Eeglablist] common baseline in std_ersp with 2 independent variables

[Makoto Miyakoshi]

Dear Arno,

These are questions about details, and I don't know exactly how they work.
Could you answer to these questions?

Makoto

2012/8/2 Anna-Antonia Pape <aa.pape at iwm-kmrc.de>:
> Hello everyone.
>
> I want to compute the ERSP on the component level in a study with 2
> independent variables with 2 levels each.
> So it's a 2x2 design, say    L vs R   x   + vs -  , i.e. 4
> condition-pairs (L+, L-, R+, R-)
> To save space on my disk, i have all conditions in one dataset, not
> separate datasets.
> I would like the baseline to be the same for all 4 conditions, e.g. the
> mean of the 4 conditions. (I don't know whether this is sensible).
>
> Anyway, I came up with two ideas to get there:
>
> 1)  I tried using 'commonbase' as a value added in the pop_precomp GUI.
> But if i understand it correctly by looking at the code of pop_precomp,
> the way pop_precomp calls std_ersp, std_ersp calculates the ERSPs for
> each condition-pair individually, i.e. in this fashion:
>
> for subject
>     for condition-pair
>        for component
>                           std_ersp()
>        end
>     end
> end
>
> So it seems to me as if i cannot use 'commonbase', if I want to have the
> same baseline for all four conditions. Is this correct?
>
>
> 2) I tried entering the precalculated mean of all the conditions via the
> pop_precomp GUI window with the 'powbase' key.
> It seems to me that the 'powbase' key somehow gets lost on the way and
> is not handed over to std_ersp. Is this is correct?
>
> I highly appreciate any comments on this.
>
> Cheers from Tübingen,
> Anna
>
> --
> Anna-Antonia Pape, M.Sc. of Neural  & Behavioral Science
>
> email: aa.pape at iwm-kmrc.de
> phone: +49 7071 979 301
>
> Knowledge Media Research Center
> Schleichstr.6
> Room 536
> 72076 Tübingen
> Germany
>
> www.iwm-kmrc.de
>
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-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego