I’m trying to figure out the best way to do this in superlab.
Here’s what the experiment would consist of:
I have the basics down. 3 Blocks, 100 trials each. Using ISI’s and triggers to record ERP’s. Participant is asked to try and tell the difference between 2 images by pressing 1 of 2 buttons. Of the 100 trials, 50 present image A, 50 are image b. The order of the 100 trials is going to be in a pre-set random order.
Now, what I’m having trouble with is providing reward feedback (Correct! You win $10!) for only a certain number of correct responses.
For each Block:
-Of the 100 trials, only 40 correct responses will be rewarded overall (max possible).
-Schedule of rewarded trials should be randomized, as the presentation of the stimuli is randomized as well. Two different reward conditions:
Group 1: Correct identification of Image A = 30 max reward feedbacks. Correct identification of image B = 10 max reward feedbacks.
Group 2: These are reversed (correct Image B = max 30 reward screens, etc.)
Any idea how I would begin to do this controlled reinforcement?