External Email - Use Caution Dear Douglas:
Thanks so much for your quick reply! I appreciate your help a lot! Please see my answer below. I have 20 trials, and two conditions, "test" and "control", with 10 trials of each condition. In this example I only had 4 trials since I wanted to test if the large number of events was yielding my problem. The reason why I specify all trials as individual events is that the trials differ greatly in duration (between 12 s and 20 s) and *all* have individual durations. I was assuming this would be important information for the schedule optimization, but maybe you think it is better to use the average duration of each condition (even though that will differ from individual event durations with up to 6 s) and then I randomimze the order of events myself? No, you are right, it is important. I'm not sure what is going wrong here without the full command line. optseq was not designed with this type of application in mind, so it might not be possible. Ok thanks, I see. Here’s a full command line (also attaching all output) where I specified all different trials (with their specific durations but rounded to the nearest multiple of the TR = dPSD). I do get some schedules but the efficiency is very low. What would you recommend for me to do? eduroam-10-200-35-57:Downloads bendtz$ ./optseq2 --ntp 1500 --tr 1.86 --psdwin 11.16 48.36 1.86 --nkeep 3 --nsearch 1000 --o test --ev control_trial_3 18.6 1 --ev control_trial_4 14.88 1 --ev control_trial_16 20.46 1 --ev control_trial_18 13.02 1 --ev test_trial_26 18.6 1 --ev control_trial_29 16.74 1 --ev test_trial_31 18.6 1 --ev test_trial_36 20.46 1 --ev test_trial_41 16.74 1 --ev test_trial_43 18.6 1 --ev test_trial_45 16.74 1 --ev test_trial_47 18.6 1 --ev control_trial_48 16.74 1 --ev test_trial_53 13.02 1 --ev control_trial_60 13.02 1 --ev test_trial_67 18.6 1 --ev control_trial_69 26.04 1 --ev control_trial_71 18.6 1 --ev control_trial_75 18.6 1 --ev control_trial_79 18.6 1 INFO: Setting srand48() seed to 999910 optseq2 $Id: optseq2.c,v 2.15 2009/05/26 18:13:45 greve Exp $ NoSearch = 0 nSearch = 1000 nKeep = 3 PctUpdate = 10.000000 nCB1Opt = 0 seed = 999910 Ntp = 1500 TR = 1.86 TPreScan = 0 PSD Window = 11.16 48.36 1.86 nEvTypes = 20 EvNo Label Duration nRepsNom 1 control_trial_3 18.600 1 2 control_trial_4 14.880 1 3 control_trial_16 20.460 1 4 control_trial_18 13.020 1 5 test_trial_26 18.600 1 6 control_trial_29 16.740 1 7 test_trial_31 18.600 1 8 test_trial_36 20.460 1 9 test_trial_41 16.740 1 10 test_trial_43 18.600 1 11 test_trial_45 16.740 1 12 test_trial_47 18.600 1 13 control_trial_48 16.740 1 14 test_trial_53 13.020 1 15 control_trial_60 13.020 1 16 test_trial_67 18.600 1 17 control_trial_69 26.040 1 18 control_trial_71 18.600 1 19 control_trial_75 18.600 1 20 control_trial_79 18.600 1 PctVarEvReps = 0 VarEvRepsPerCond = 0 PolyOrder = -1 tNullMax = -1 tNullMin = 0 outstem = test AR1 = 0 No refractory penalty Cost = eff OutStem = test Summary File = test.sum nTaskAvgs = 400 INFO: LogFile is test.log outstem = test 5 59 0.6 8.42937e-09 8.42937e-09 1.8550 0.975 0.15632 8.42937e-08 1 1 40.9436 0 22 226 2.4 8.42937e-09 8.42937e-09 1.8550 0.975 0.15632 8.42937e-08 1 1 40.9436 0 75 756 8.4 0.0025 0.0025 1.8550 1 0 1 1 0 30.9512 0 75 1000 11.1 0.0025 0.0025 1.8550 1 0 1 1 0 30.9512 0 INFO: searched 1000 iterations for 0.185833 hours INFO: 1.49477 iterations per second INFO: 997/1000 schedules were ill-conditioned outstem = test > > > I get: > > > NFO: searched 1000 iterations for 0.010556 hours > INFO: 26.3158 iterations per second > INFO: 1000/1000 schedules were ill-conditioned > ERROR: all schedules found were ill-conditioned. This > probably means that you need more scan time (ie, a > greater number of time points) or fewer repetitions. > > (I'm running on a macOS Mojave version 10.14.3. ) > > But it's obviously not the ntp that is the problem since I put an > extra long time there that cover the event durations by far. > > Is there any way I can troubleshoot more efficiently myself? The log > file doesn't tell me anything. > > Very happy for any advice, > > All the best, > > Katarina > > > > > Katarina Bendtz, Ph.D. (particle physics) > Postdoctoral researcher in cognitive neuroscience > Department of Psychology, Stockholm University > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
test-001.par
Description: test-001.par
test-002.par
Description: test-002.par
test-003.par
Description: test-003.par
test.log
Description: test.log
test.sum
Description: test.sum
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