[pymvpa] classification project

Mike E. Klein michaeleklein at gmail.com
Wed Sep 19 15:52:59 UTC 2012


www.princeton.edu/~matthewb/Publications/*tutorial*.pdf

http://scan.oxfordjournals.org/content/4/1/101.full

www.bcn-nic.nl/txt/people/publications/*Etzel*2009.pdf

On Wed, Sep 19, 2012 at 11:22 AM, Abduljalil Sireis <kentman234 at gmail.com>wrote:

>
>
> On Wed, Sep 19, 2012 at 4:56 PM, J.A. Etzel <jetzel at artsci.wustl.edu>wrote:
>
>> This is far too general of a question: which steps are necessary depends
>> upon the precise hypothesis you're testing with the analysis. I can easily
>> think of a half dozen analysis schemes appropriate in various situations.
>>
>> You should start by making your hypothesis as concrete as possible. For
>> example, are you interested in widespread activity, or activity in
>> particular brain areas only? Are you interested in activity during
>> particular times during the clips, or some sort of temporally averaged
>> activity?
>>
>
> - I'm interested in particular brain areas or regions of interest which
> should be activated during the experiment. Also, a temporally averaged
> activity would be fine.
>
>
>>
>> There are many useful tutorials; the ones by Pereira, Mur, and (if I say
>> so myself) Etzel are good starting points.
>>
>
> - Which tutorial do you mean? Could you please write me its name or the
> link or it?  Thank you!
>
>>
>> good luck,
>> Jo
>>
>>
>>
>> On 9/19/2012 7:19 AM, Abduljalil Sireis wrote:
>>
>>> Hi,
>>>
>>> I need help  in classification project of subjects see two types of
>>> video clips. One kind is dangerous car accidents and the other is normal
>>> car advertisements. We have number of subjects perform this task with
>>> one session per subject. Each run consists of 6 clips from each type,the
>>> two successive spots are separated by black screen and a yellow cross to
>>> fix the subjects eyes. There was not a specific order of the spots but
>>> more than two successive ones of the same type were not allowed. All
>>> videos were accompanied with voice, so we have visual and audio
>>> stimulation.
>>>
>>> I think that i need to do features selection with respect to the active
>>> regions corresponding to the stimulations, then a cross-validation leave
>>> one-run-out can be applied. Could you please guide me through this
>>> project? Which concrete steps should i need to do?
>>>
>>> Thank you,
>>> Abdul
>>>
>>>
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>>>
>>>
>> --
>> Joset A. Etzel, Ph.D.
>> Research Analyst
>> Cognitive Control & Psychopathology Lab
>> Washington University in St. Louis
>> http://mvpa.blogspot.com/
>>
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>
>
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