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

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Cesar Caballero Gaudes
December 01, 2017 02:55AM
Hello,

You don't have to run 3dDeconvolve 64 times. The stim_times_IM option in 3dDeconvolve will generate one regressor per trial (i.e. single trial). Check the design matrix with 1dplot or look at the X.jpg image (note you have written X..jpg with two dots). Then, 3dLSS will estimate the betas for each single trial via Ridge Regression as recommended in Mumford's paper instead of the standard Ordinary Least Squares

Btw, I think your 3dDeconvolve should indicate -num_stimts 2 since you are only including one type of stimuli.

Hope this helps,
Cesar
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Subject Author Posted

3dDeconvolve + 3dLSS for each stimulus to compute beta values

zhenganglu November 30, 2017 04:37PM

Re: 3dDeconvolve + 3dLSS for each stimulus to compute beta values

Cesar Caballero Gaudes December 01, 2017 02:55AM

Re: 3dDeconvolve + 3dLSS for each stimulus to compute beta values

zhenganglu December 01, 2017 10:29AM