[Eeglablist] power baseline

[Makoto Miyakoshi]

Dear Mikolaj,

> If you want to provide a baseline that you  previously computed yourself
- use the 'powbase' option.

I did not know this! Thank you.

Makoto

On Thu, May 29, 2014 at 3:21 AM, Mikołaj Magnuski <imponderabilion at gmail.com
> wrote:

> Hey Lars,
>
> it depends on what you want to achieve. If you want to provide a baseline
> that you  previously computed yourself - use the 'powbase' option. If you
> want your baseline to be defined by a period in your epochs use the
> 'baseline' option.
> 28 maj 2014 19:37 <lars.rogenmoser at psychologie.uzh.ch> napisał(a):
>
>>  Dear all
>>
>> Is anyone familiar with spectral analysis in terms of pre-computing component
>> measures? I was wondering whether someone could tell me how to include a
>> power baseline in spectral analysis.
>>
>> the "std_spec" function suggests 'timerange'. However, there is furher
>> information on FFTs discussing the baseline (
>> http://sccn.ucsd.edu/eeglab/allfunctions/timefdetails.html)
>>
>> 'baseline'
>>
>> Spectral baseline end-time (in ms). Use NaN for no baseline removal{0}
>>
>> 'powbase'
>>
>> Baseline spectrum to log-subtract. 'baseline' parameter is ignored if
>> this parameter is used {def|NaN->from data} This is useful only when you
>> want to use a known baseline spectrum (e.g. from another condition) instead
>> of using the actual mean baseline spectrum of the data. Otherwise, leave
>> this out or specify as 'NaN' (not a number).
>>
>>
>> Which one is the appropriate function?
>>
>>
>> thanks, Lars
>>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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