[Eeglablist] ERSP baseline

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Mon Apr 8 13:46:23 PDT 2013


Dear Erika,

Yes, options for newtimef() should be valid also in the STUDY precompute.

Maktoo


2013/4/5 Erika Nyhus <Erika_Nyhus at brown.edu>

> Thanks, will it work to specify baseline in the ERSP parameters when doing
> study precompute (std_precomp)?
> Erika
>
>
> On Fri, Apr 5, 2013 at 9:07 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>wrote:
>
>> Dear Erika,
>>
>> Yes, please see below. This is from help of newtimef().
>>
>>         'baseline'  = Spectral baseline end-time (in ms). NaN --> no
>> baseline is used.
>>                       A [min max] range may also be entered
>>                       You may also enter one row per region for baseline
>>                       e.g. [0 100; 300 400] considers the window 0 to 100
>> ms and
>>                       300 to 400 ms This parameter validly defines all
>> baseline types
>>                       below. Again, [NaN] Prevent baseline subtraction.
>>                       {default: 0 -> all negative time values}.
>>
>> Makoto
>>
>>
>> 2013/4/4 Erika Nyhus <Erika_Nyhus at brown.edu>
>>
>>> I made a long pre-stimulus period for epoching so that I can run
>>> time-frequency analysis.  But I am now concerned that this is not a good
>>> baseline for looking at ERSPs.  Is there a way to plot ERSPs with a
>>> different baseline?  Or can I precompute with a different baseline other
>>> than my epoched prestimulus period?
>>>
>>> --
>>> Erika Nyhus, Ph.D.
>>> Cognitive, Linguistic, and Psychological Sciences
>>> Brown University
>>> Box 1821
>>> 190 Thayer St.
>>> Providence, RI 02912-1821
>>>
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>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>
>
>
> --
> Erika Nyhus, Ph.D.
> Cognitive, Linguistic, and Psychological Sciences
> Brown University
> Box 1821
> 190 Thayer St.
> Providence, RI 02912-1821
>



-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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