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Comments
Hi Anthony,
Just so we're on the same page: You want to present a target stimulus for 120ms, followed by a blank display (or a mask or something) and you want to collect a keyboard response from the start of the target stimulus with a timeout of 2000ms. Is that correct?
I can think of two fairly easy ways to do this:
Sequential approach
You could use the following structure:
This simply assumes that subject will never press a key within 120ms, so there is no need to poll for responses while the target is on the screen. It's not very elegant perhaps, but I think it will work just fine.
The parallel approach
Edit: I should add, of course, that this plug-in is only available in 0.27. You can download the latest pre-release here. If you prefer to keep using 0.26, it is possible to copy the plugins/parallel folder from 0.27 to your 0.26 installation.
The parallel plug-in allows you to run two items simultaneously. So you could start a keyboard_response, and at the same time start a sequence that presents your two displays. The parallel plug-in looks and works very similar to the sequence plug-in, except for the obvious difference that it executes items in parallel, rather than sequentially. Just to make things a bit clearer, here's a screenshot of the trial_sequence using the parallel plug-in:
The parallel plug-in is still new and somewhat experimental, so please let me know how it works for you!
Cheers,
Sebastiaan
Check out SigmundAI.eu for our OpenSesame AI assistant!
Hi Sebastiaan,
Where do I obtain the parallel plugin? Is it only available in pre-release?
Thanks
Anthony
Right, yes! I forgot to mention that (crucial) part: See my edit in the previous post.
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Hi Sebastiaan,
Did you manage to try out the above procedure? I am struggling to get it to work.
I have tried it in v0.26 and v0.27-pre22.
Please take a look at my test program here - https://www.dropbox.com/s/33qfgtlelr6zj7l/ParTest.opensesame
It seems that the keyboard_response does not function in the parallel mode.
Thanks
Anthony McGuffie
Hi Anthony,
You are correct: There's a Windows-specific issue in which the 'threads' (i.e. the software processes running in parallel) do not have access to the keyboard. So your experiment is fine, and it does work. Just not under Windows, which is annoying.
The parallel plug-in will need to be fixed, obviously, so if you're not in a tremendous rush, I would wait until I get a chance to update this in the next pre-release, which should not be more than a few days. Until that time, I would suggest using the 'sequential approach' as I described above, which should be fine, certainly for testing purposes.
Thanks for finding this bug!
Cheers,
Sebastiaan
Check out SigmundAI.eu for our OpenSesame AI assistant!
Hi Sebastiaan,
Thank you for looking into this. As I require accuracy, I will wait until the next pre-release.
In the meantime whilst trying out the parallel functionality, i noticed that the media player plug-in has been removed from all the 0.27 pre-releases.
Copying across this plug-in for testing it asks for a missing pyffmpeg module. Has this feature been removed on purpose?
Thanks
Anthony
Please see 0.27~pre24 (or later).
The workaround is now that the first item in the parallel plug-in is not run as a thread, but in the main process. Therefore, you should be able to collect keypress responses, but only if you place the keyboard_response as the first item:
I hope to find a proper solution at some point, but for now this should work.
I now package OpenSesame with Python 2.7 (before it was 2.6), which so far doesn't play nice with pyffmpeg. If we cannot get the media_player plug-in packaged with Python 2.7, I'll probably release a separate package with the media_player based on Python 2.6 (but not in the pre-release stage). In the long run, Daniel's plan is to retire the media_player in favour of a VLC-player based plug-in, but this isn't finished yet.
Cheers!
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Hi Sebastiaan,
The parallel plugin works great in 0.27 on windows but I now need to use it on a MACs.
It seems that the only MAC versions available are the 0.26 executable (without the plugin) and 0.27 source.
What is the easiest way to run 0.27 with this plugin?
Running from source seems very long winded way to load onto multiple MacBooks as I have a variety of student laptops with differing setups who require the program to be installed.
Is the MAC 0.27 version about the be released?
Thanks
Anthony McGuffie
Hi Anthony,
The Mac OS builds are created occasionally by Daniel, using a virtual machine. This is always a bit problematic, because none of the team has a development Mac and therefore we don't have any systematic way to build and test OpenSesame on Mac OS. So unfortunately I don't know whether there will be a Mac build for 0.27 in the near future.
There are a number of options, though:
1) You could run OpenSesame from source on a single Mac, and use this environment to build packages with the setup-mac.py script that is included with the source.
python setup-mac.py py2app
As I mentioned, the build process can be a bit painful, but if you are/ know of a Mac-savvy person, it's definitely a possibility. It's essentially a matter of getting all the correct Python modules installed, and then running the build script. If you succeed in building a package, please share !
2) If it's just the parallel plug-in that you need, you could copy the plugins/parallel folder from the 0.27 source to the 0.26 package (to the subfolder that contains the plug-ins). Although I haven't tried this, I believe the parallel plug-in should work with 0.26 as well.
Cheers,
Sebastiaan
Check out SigmundAI.eu for our OpenSesame AI assistant!
Packaging OpenSesame 0.27 for Mac is a bit problematic at the moment as this version doesn't work on my old source environment anymore, most likely because of outdated PyQt packages. I therefore need to rebuild this package and the whole source environment from scratch (as I also want to update the other dependencies), which will require some time. I hope to find a moment in the near future to do so.
The easiest way to run OS from source on a Mac is still by using MacPorts, although the compilation of all the dependencies can take quite some time.
Sorry to drag an old post up, but it is a relevant addition (I think!).
Regarding the experiment setup below:
My keyboard response isn't collecting responses. Whilst I can see from this thread that this has been a problem in the past, it seemed as though it was fixed (after a fashion)?
I have tried arranging the parallel with the kb response at the top and at the bottom (top crashes OS, bottom doesn't collect but does allow exp to run).
I have also tried a sequential approach, setting the blank at 0ms, but response collection needs to be possible for the 1200ms of the 'question_word' and 1400ms of the 'blank', so this doesn't really work (and doesn't collect responses anyway!).
I can only think that the parallel plug-in is fixed for the built-in keyboard object, but perhaps not inline script keyboard objects?
I'm at a dead-end in terms of solutions for this, any help would be received with enthusiasm!
Thanks,
Lee
P.s. full script in pastebin
Hi Lee,
Whether the
parallel
plug-in works is very system dependent, so it could well be that it simply doesn't work properly on your system. There is no systematic fix yet, unfortunately.Your structure seems fine to me, and using an
inline_script
instead of akeyboard_response
to collect keypresses does not make any fundamental difference.What I would do is simply switch to a sequential structure, which should be possible in your case. For example, you could blank the screen after 1200 during the response collection, by slightly expanding the script:
This way you can remove the blank
sketchpad
altogether, simply set the duration of the question_wordsketchpad
to 0, and have it be followed by the p_keyboard_responseinline_script
. Does that make sense?Cheers,
Sebastiaan
Check out SigmundAI.eu for our OpenSesame AI assistant!
That does make sense. I've placed it at the end of the keyboard response script and it seems to work. Still not collecting responses though... I suspect that is more a fault in the way I've connected/not connected the keyboard script into the rest of the experiment.
Thanks for the loop though - timing is something I've not quite got to grips with yet!
Best,
Lee
Right, I have finally sorted this out... yay! Thanks for the pointers, it is now - solved!
Best,
Lee
Dear all,
The parallel plugin works perfect when we run our experiment in the windowed mode. However, Opensesame freezes under fullscreen mode when parelel plugin starts. We would be very happy to hear your suggestions ?
Many thanks for your help.
Cumhur
The problem is now partially solved by choosing "no" option in the openGL window. But I am not sure if this would have a huge impact in the timing of an fMRI experiment.
C
The main difference is that you will no longer use a 'blocking flip', which means that you have some uncertainty about the moment at which a display is presented. The temporal error is at most one refresh duration, so 16.7 ms on a 60 Hz monitor.
See also:
Although it's usually desirable to use a blocking flip, for most purposes it's not really that important, because the temporal error is so small. But it depends on your specific experiment, of course.
Cheers!
Sebastiaan
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Dear Sebastiaan,
Many thanks for this kind reply, that was vey helpfull. I only have one more quesiton. In our case we use an LCD projector to show stimuli for our fMRI experiment. We use an ATI HD graphic card with dual monitor option. So my question is as far as I understand opensesame backends take the refresh rate of the monitor into account before the onset of the experiment. However, in our case we use both the monitor and the LCD projector. Do you have any recommendations that may help us to stay in the safe side ?
Cheers!
Cumhur
Hi,
It's very difficult to say anything general about dual-monitor set-ups. It depends on the operating system, video drivers, and the type of monitor splitting that you're using (e.g., cloning, extended desktop. etc.). There are usually issues, though. For example, two monitors may not use the same refresh rate, and, even if they do, they may be out of phase. So what does v-sync and blocking flip even mean in a set-up like that?
My recommendation would be to just test the set-up to see if things work well. For example, you can visually check whether v-sync is enabled by presenting a flickering blue/yellow display:
So checking v-sync is easy. To check the reliability of your timestamps, you'll need to use an external photodiode and co-register the timestamps registered by the photodiode with the display timestamps registered by OpenSesame:
That's a bit trickier. But if you have a technician, and I imagine you do in an fMRI lab, then it's definitely worth doing.
Cheers!
Sebastiaan
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