AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

History of AFNI updates  

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February 20, 2009 09:55PM
Hi Giulia,

You should run 3dDeconvolve -nodata the same way that you plan
to use it when analyzing your data.

If you decide to use waver (which is not necessarily recommended,
perhaps you can give the stimulus timing directly to 3dDeconvolve),
presumably the -dt should match your TR.

I gather these stimuli are TR-locked, is that correct?

----

Are you talking about HowTo #3? If you use RSFgen, then the fact
that you want each run to contain an equal number of trials means
you need to run the program once per run, apply waver with the
proper -numout option (_if_ you decide to use waver), and catenate
those runs together for each stimulus type.

The make_random_timing.py program can do all runs at once, still
making sure that each run has the same number of trials. However
it creates files that are not appropriate for waver, as they are
in the -stim_times format.

So my questions for you:

1. Are your stimuli TR-locked?
2. What basis function do you plan to use in the regression?

- rick

Subject Author Posted

optimal stimulus sequences

giulia righi February 20, 2009 07:57AM

Re: optimal stimulus sequences

rick reynolds February 20, 2009 09:55PM