guidance in designing loops -conditioning experiment-

Comments

• eduard

  February 2018

  Hi,

  Should I be using an inline script to make this work?

  I would, but I generally prefer inline_scripts. Maybe you can accomplish your design also with loop tables, but I can't think of an easy way to do that.

  One thing, I'm not sure I get correctly:

  4 of the exemplars from each CS category with 5 aversive UCS images (each exemplar paired with each UCS image once in random order)

  That is, 20 trials with the all 4 CS images in random order?

  So, here is a little example, that should get you started.

  import random
  
  # create the CS lists
  # if you have images, just replace the numbers with the image filenames (incl. extension, e.g. .png)
  CS_1 = [1,2,3,4,5,6,7,8]
  CS_2 = [11,12,13,14,15,16,17,18]
  
  # create more lists for the  UCS
  averse = [21,22,23,24,25]
  neutral = [31,32,33,34,35]
  
  # shuffle everything
  random.shuffle(CS_1)
  random.shuffle(CS_2)
  random.shuffle(averse)
  random.shuffle(neutral)
  
  # select which CS goes with which UCS
  neutralCS = CS_1[:4]
  averseCS = CS_1[4:]
  
  # combine all exemplars per condition
  neutralStim = [ [cs,ucs] for cs in neutralCS for ucs in neutral ]
  averseStim = [ [cs,ucs] for cs in averseCS for ucs in averse ]
  allStim = neutralStim + averseStim
  # shuffle the list that contains all trials for the CS_1 condition, so that all trials are fully randomized
  random.shuffle(allStim)
  
  # the list allStim, is now a list containing lists for each trial. Every sublist has two items, the first one
  # should be the filename of the CS image, the second one the filename of the neutral image
  # allStim you can now access one by one, for each trial and present the images accordingly
  
  # You can apply the same logic to add the lists for CS_2 files
  

  Hope this helps,

  eduard