So
are these results good?
stim A: h[ 0]
norm. std. dev. = 0.0010
stim B: h[ 0] norm. std. dev. = 0.0009
stim C: h[ 0] norm. std. dev. = 0.0011
GLT #1: LC[0] norm. std. dev. = 0.0013
GLT #2: LC[0] norm. std. dev. = 0.0012
GLT #3: LC[0] norm. std. dev. = 0.0013
And
repeat
see the script: AFNI_data1/ht03/@stim_analyze
→review the
script details:
100 iterations, incrementing random seed, storing
results in separate files
only the random number seed changes over the
iterations
→execute the
script via command: ./@stim_analyze
→"best"
result: iteration 039 gives the minimum sum of the 3 GLTs, among all 100 random designs (see file stim_results/LC_sums)
→the 3dDeconvolve output is in stim_results/3dD.nodata.039
Recall
the Goal: to design an effective random stimulus presentation (while preserving statistical power)
→Solution: the
files stim_results/RSF.stim.039.*.1D
RSF.stim.039.1.1D RSF.stim.039.2.1D RSF.stim.039.3.1D12