For each run ID> use prior mean & prior std to calculate the "range" for the run, the constraints on where the angle can appear > binary filter on the participants' response within that run (0= inside the "range", 1 = outside the "range") > raster plot over the time within the run to determine when participant learns the constraints of that particular run
For each run ID> use prior mean & prior std to calculate the "range" for the run, the constraints on where the angle can appear > binary filter on the participants' response within that run (0= inside the "range", 1 = outside the "range") > raster plot over the time within the run to determine when participant learns the constraints of that particular run