I agree that the temporal gap between CS and US could have an impact - it is possible that there is a response to the CS offset which is not properly modelled. Implement hoeks pupil erlang response function Does this work? Otherwise could you also tell me what parameters you use to report the second level model? Best Tobias If you want to report all the contrasts, just leave it empty, or use indexes if you want to report specific contrasts (i.e. According to the data you sent me, I think the parameter for the contrast vector is wrong. To get diameter from area, you use the following formula: 2.sqrt(area.pi) However, I think it should be 2.*sqrt(area./pi) Looking forward to hearing from you. Hello, I am trying the function pspm_convert_area2diameter and I may have run into a mistake. Here again: To get diameter from area, you use the following formula: 2.sqrt(area.pi) However, I think it should be 2.*sqrt(area./pi) pi) Looking forward to hearing from you. To get diameter from area, you use the following formula: 2. Hi Tobias, It works! I now get the statistics and the graph! Thank you very much for your help! Hannah On the one hand, my aim is to evaluate the presence of conditioning (so the fear conditioning model may. As for the latter, I am wondering whether I should use the model for pupil size changes elicited by (il)luminance changes or the model for pupil size changes elicited by fear conditioning.
#LABCHART READER MARKERS SKIN#
I am probing the conditioning effect using skin conductance as well as pupillometry. Hello, I am running a classical conditioning experiment with three possible outcomes: reward, punishment, neutral condition.
#LABCHART READER MARKERS CODE#
If you haven't changed your code yet, you could download the function from the repository or from here: (doesn't work at the time, but this should be the URL) Best Tobias I completely agree with you and changed this accordingly in the repository. Plot the CS+ and CS- responses and their difference. Since we haven't explicitly tested this (and have no data to test it either), I'd suggest a quick fix. So the question is, does the fear conditioning model fit appetitive learning experiments, too. Hi Ambra the illuminance model is unlikely to be of much help here (unless you are interested in deconvolving the time course of neural input into the pupillary system, something that is not implemented in PsPM yet). I guess you should change the formula also at line 72, when mode is vector. I have taken care of specifying all the experimental events in the condition.Īdjust convertions au2unit, adjust review, change toolbox detection Hello Dominik, I have got a very dummy question: how do I get the CS+ and CS- responses? Also, I have preprocessed the data as follows, I don't know if it sounds reasonable: - reject samples associated to saccades or blinks (according to Eyelink events) - trim timecourse based on start and end of each block - interpolate missing data At the moment I sistematically get negative betas, but I don't know where the problem is.
I am using brief stimuli (duration tools -> extract segments Via classical conditioning, these flashes should become conditioned stimuli and I aim at finding relative differences in SCR among them. Each unconditioned event is anticipated by a different flash of colour (blue, pink, yellow). Hello, I aim at finding relative differences in SCR among three types of unconditioned events (reward, punishment, no monetary change). Second question: instead of GLM, would msybe DCM better fit my needs? Thanks and best, Ambra
Hello, following on the non-responders issue, how do I get the amplitude estimates you are referring to? Shall I look at the reconstructed response amplitude per condition which comes out of the first-level GLM? Many thanks an best, Ambra
0 kommentar(er)
