Dear all,

Hi Gabriel,

which OpenSesame version are you using (+ on which operating system)? Do you have the most recent development version of mousetrap-os installed (see https://github.com/PascalKieslich/mousetrap-os#inst

Have you followed the instructions at https://github.com/PascalKieslich/mousetrap-os/blob/master/README.md#installation? If you are using Windows you need to run opensesame as an administrator to avoi

https://osdoc.cogsci.nl/3.2/manual/eyetracking/pygaze/#installing-pygaze

Thanks very much for the reply!

* Generally, yes - but I'm not sure you want to use whichModels = "bottop" - it is advised to stick with the defaults here (whichModels = "withmain") (see here). A…

https://osdoc.cogsci.nl/3.2/manual/prepare-run/#inline_script-items

#Initialise serial port

to install the mousetrap plugins, you can follow installation instructions in the mousetrap-os documentation: https://github.com/pascalkieslich/mousetrap-os#installation

https://github.com/pascalkieslich/mousetrap-os#installation

reponse_not_pressed = True # variable just to be sure a response A or B will be pressed (and not another element of the screen)my_mouse = Mouse(visible=True) #initialize mouse responsetime_canvas_resp

Hi there,

* http://osdoc.cogsci.nl/3.2/manual/eyetracking/eyelink/#installing-pylink

#Increase total reward by amount of reward for that trial. Run only if [correct]=1 var.total_reward = var.total_reward + var.reward_value

#init objectsstim1_cv = canvas()stim2_cv = canvas()blank_cv= canvas()kb1 = keyboard(timeout = 2)kb2 = keyboard(timeout = 2)# draw stimulistim1_cv.circle(-100,-100,50,fill=True,color='red')stim2_cv.cir

https://github.com/pascalkieslich/mousetrap-os#installation

#in the inline script in the experiment log_path = 'C:\your folder here\' f = open('%s\\%s.txt' %(log_path,file_name),'r+') for row in f: condition_list = eval(row)

2) If you would like to design your screen using a sketchpad item, you can use the mousetrap response plugin to define buttons on the screen and to collect the mouse response (see documentation here:

#In Rlm(formula = CPSST_8rank ~ sert_tri_bin, data = DataInc)Deviance Residuals: Min 1Q Median 3Q Max -69.622 -52.454 0.046 40.546 82.046 Coefficients: Est