![]() No need to do any calculations until all the values are gathered: rt_list.append(your_keyboard_component_name.rt) No, you just append the RT from each trial to the list. RT_list = # an empty list to hold your values Yes, in the “Begin routine” tab, but you need a check so this only happens once (on the first (or strictly zeroth)) trial: if your_loop_name.thisN = 0: I feel very close but can’t seem to identify the specific coding necessary to make this happen. So my question is: how do I do these steps? I realize there’s a lot in there, so I’ll suffice for just steps A and B if need be, and will figure out the countdown clock on my own (though would definitely appreciate insight on that as well). Speaking conceptually, I suspect I will have to:Ī) in Begin Routine, create an object that records and holds a list of the response times from the trials in FCpract routine,ī) then in End Routine, have two objects (meanRT and sdRT)ready to do the computation at the end of the routine and store the resulting values.Ĭ) In the later routine, the countdown clock can just be set to ‘meanRT - sdRT’, which will produce the time pressure constraint I’m after. But I’ve hit a roadblock for some reason and can’t seem to integrate those solutions (i.e. Which got my understanding conceptually what needs to happen. I developed two implementations of the UPF b… We are in the process of testing the response times of the UPF box, and comparing them with those of a keyboard, and a Cedrus box (RB-730). ![]() The device has worked successfully with Psychopy thus far. I’ve developed python code using the ftd2xx python wrapper so that the device interfaces with Psychopy. Our lab purchased a UPF button box developed by researchers from the University of Ferrara and the Italian Institute of Technology ( website). New button box implementation - Question about response times Coding
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