Hi Yaroslav,
Yaroslav Halchenko wrote:
but then what would you do with such an array? ;) you would have
different number of features in different samples -- do you want to
consider it as a "sparse" array may be -- so some samples would not have
all features present, ie equivalent if we just had them zero-ed out?
what is the real usecae, why don't you like to have them all to have
maximal duratoin (ie 8sec)?
May be I totally misunderstood the concept of spatio-temporal
classification,.. :-)
Lets assume an experimental design looking like this:
# Block I
CUE_A
DELAY_A
DELAY_A
TGT_X
--REST
# Block II
CUE_B
DELAY_B
DELAY_B
DELAY_B
TGT_Y
--REST
# Block III
CUE_B
DELAY_B
TGT_Y
--REST
...
Lets assume I want to classify the delaytype (A vs. B). In the first
case my delay takes 4 sec (TR=2) in the second case the delay covers
6sec, in the third case 2sec. and so on.
Now you suggest to take the maximum event duration (6sec. in this
example)? As I understand the Erniftidataset, this would cause the
problem, that the classifier is also trained on the features belonging
to the TGT_X class in Block I and TGT_Y + REST class in Block III.
My usecase is, that the Boxcarmapper should only cover the corresponding
features for one class.
Am I on the woodway :-) ?
Bests,
Matthias
On Thu, 16 Jul 2009, Matthias Ekman wrote:
Hi,
I am currently analysing an event-related design with different
event durations (4, 6 or 8 sec.). As far as I can see, it is not
possible to use the ERNiftiDataset for this purpose cause it takes
the maximum boxlengths for "all" events.
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