Dear,

It's first time for me to analyze event-related design.
I would like to just reconfirm that my understanding of TENT function is correct.

My data is event-related, jittered time series.
TR=3 s, whole length of time series = 440 TR
(for detail, see attached file)

My interest is neural activity of time from onset of A sti and until A response, which are about 3 secs.
Time between A sti and another A sti are about 9 - 11 secs.
The contents of sj01_act.txt are 101:104.32 111:114.78 .....
The contents of sj01_con.txt are 0:3.59 12:14.98 22:25.09 ......


3dDeconvolve -input sj01_norm+orig.HEAD \
-polort 3 \
-rmsmin 1.0 \
-num_stimits 8 \
-stim_times 1 ../sj01_act.txt 'TENT(0, 15, 6)' \
-stim_label 1 active -basis_normall 1 \
-stim_times 2 ../sj01_con.txt 'TENT(0, 15, 6)' \
-stim_label 2 control -basis_normall 1 \
-stim_file 3 sj01.motion.1D \[0\] -stim_label 3 "Roll" \
-stim_file 4 sj01.motion.1D \[1\] -stim_label 4 "Pitch" \
-stim_file 5 sj01.motion.1D \[2\] -stim_label 5 "Yaw" \
-stim_file 6 sj01.motion.1D \[3\] -stim_label 6 "DS" \
-stim_file 7 sj01.motion.1D \[4\] -stim_label 7 "DL" \
-stim_file 8 sj01.motion.1D \[5\] -stim_label 8 "DP" \
-glt 1 ../A_act_vs_con.txt -glt_label 1 'act-con' \
-glt 1 ../A_act.txt -glt_label 1 'act' \
-glt 1 ../A_con.txt -glt_label 1 'con' \
-bucket sj01_A_tent.dec \
-iresp 1 sj01_A_act-irf \
-iresp 2 sj01_A_con-irf \
-fitts sj01_A_tent-fitts