Hi, I thought perhaps I should explain better what I'm trying to do (this is something I've seen in a number of papers, but I'm not sure of the best way of achieving this in AFNI).

In the simplest case, I have an e-rel dataset with two conditions, randomly intermixed. The ITI is such that there is substantial overlap between subsequent trials, and so at any time t the signal is produced by a mix of multiple conditions and so one cannot just give a single label to timepoints. I would assume one should perform a deconvolution analysis first, pulling out estimated signals for each trial, and use these signals to train an SVM.

Is there a simple way to pull out these single trials in AFNI? Currently, the only way I can think of is by using one -stim_times flag for each trial (and a corresponding timing file with just the timing of that trial), but this would result in hundreds of such files.

Thanks!

-Jack