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
>
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