Hi Rick,
For the run_len, I had to increase it to 2086 (2TR*7Trials*149TRs per run); here was my command and output:
timing_tool.py -multi_timing *.1D -run_len 2086 -multi_stim_dur 2 -multi_show_isi_stats
** MTiming nrows differ for extending (19, 20)
** MTiming nrows differ for extending (19, 25)
** MTiming nrows differ for extending (19, 23)
** MTiming nrows differ for extending (19, 22)
** MTiming nrows differ for extending (19, 17)
** MTiming nrows differ for extending (19, 21)
** MTiming nrows differ for extending (19, 14)
** MTiming nrows differ for extending (19, 12)
** MTiming nrows differ for extending (19, 17)
** MTiming nrows differ for extending (19, 12)
** MTiming nrows differ for extending (19, 16)
** MTiming nrows differ for extending (19, 22)
** MTiming nrows differ for extending (19, 12)
ISI statistics (14 elements) :
total per run
------ ------------------------------
total time 39634.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0 2086.0
total time: stim 38.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0
total time: rest 39596.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0 2084.0
rest: total isi 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
rest: pre stim 17496.0 132.0 180.0 318.0 386.0 480.0 530.0 558.0 596.0 756.0 894.0 978.0 1104.0 1226.0 1320.0 1348.0 1490.0 1586.0 1648.0 1966.0
rest: post stim 22100.0 1952.0 1904.0 1766.0 1698.0 1604.0 1554.0 1526.0 1488.0 1328.0 1190.0 1106.0 980.0 858.0 764.0 736.0 594.0 498.0 436.0 118.0
num stimuli 19 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
min mean max stdev
------- ------- ------- -------
rest: pre-stim 132.000 920.842 1966.000 542.217
rest: post-stim 118.000 1163.158 1952.000 542.217
rest: run #0 ISI 0.000 0.000 0.000 0.000
rest: run #1 ISI 0.000 0.000 0.000 0.000
rest: run #2 ISI 0.000 0.000 0.000 0.000
rest: run #3 ISI 0.000 0.000 0.000 0.000
rest: run #4 ISI 0.000 0.000 0.000 0.000
rest: run #5 ISI 0.000 0.000 0.000 0.000
rest: run #6 ISI 0.000 0.000 0.000 0.000
rest: run #7 ISI 0.000 0.000 0.000 0.000
rest: run #8 ISI 0.000 0.000 0.000 0.000
rest: run #9 ISI 0.000 0.000 0.000 0.000
rest: run #10 ISI 0.000 0.000 0.000 0.000
rest: run #11 ISI 0.000 0.000 0.000 0.000
rest: run #12 ISI 0.000 0.000 0.000 0.000
rest: run #13 ISI 0.000 0.000 0.000 0.000
rest: run #14 ISI 0.000 0.000 0.000 0.000
rest: run #15 ISI 0.000 0.000 0.000 0.000
rest: run #16 ISI 0.000 0.000 0.000 0.000
rest: run #17 ISI 0.000 0.000 0.000 0.000
rest: run #18 ISI 0.000 0.000 0.000 0.000
all runs: ISI 0.000 0.000 0.000 0.000
all runs: stimuli 2.000 2.000 2.000 0.000
I do not have the python libraries, and was unable to install them with fink; I will upload them presently.
Thanks again,
-Andrew
