DearsThe structure of my dataset has 2 Modalities BY 2 Actions design (2
Modalities "Motor Imagery (MI) and Action Observation (AO)") (2 Actions lift
and knock).
I am trying to run a Searchlight to identify the common informative voxels
(similar patterns) across different modalities, in another word, training the
classifier on data of one modality (MI of Lift vs Knock) and tested on the
other modality (AO of Lift vs Knock) and vice versa.Here is my code:
clf=LinearCSVMC()
cv = CrossValidation(clf, HalfPartitioner(attr='modality'))sl =
sphere_searchlight(cv, radius=3, postproc=mean_sample())res = sl(ds)
Where ds has a dimension of (32, 106720)(ds.sa.modality) return an array
= ['MI' 'AO' 'MI'
'AO'.............................]which corresponding to (ds.sa.targets) =
['lift_nv' 'lift_v' 'knock_nv' 'knock_v'...........................]
However (res.samples) returns only 1s. Means nothing is common at all!!!Is
there anything wrong with my code above?
Your comments are highly appreciated.
SincerelySalim
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