3dDeconvolve -no data output and efficiency question

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Hello,

I’m trying to use RSFgen, make_stim_times.py and 3dDeconvolve -nodata option as described in the experimental handout (https://afni.nimh.nih.gov/pub/dist/edu/latest/afni_handouts/ExptDsgn.pdf) and had a question.

Why do you get one norm. std. dev. output per regressor and contrast with the GAM option, but 6 norm. std. dev. output per regressor/contrast with the TENT option? What are all the 6 different norm. std. dev outputs for each regressor in the TENT option?

Thanks!

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Why do you get one norm. std. dev. output per regressor and contrast with the GAM option, but 6 norm.
std. dev. output per regressor/contrast with the TENT option?

I suspect that you have 6 TENTs in your model specification, each of which leads to one value of norm. std. dev. in the output.

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Also, consider using @stim_analyze, with make_random_timing.py.

  • rick