Recurrent neural networks that learn multi-step visual routines with reinforcement learning
Fig 2
Example stimuli for the three tasks for the model.
A, Trace task. The task is to make an eye movement to the blue pixel of the curve starting with a red pixel. B, Search-then-trace task. The model searches for a target marker (here red, as cued on the left of the array) and it has to make an eye movement to the blue pixel at the other end of the curve starting with this marker. C, Trace-then-search task. The model traces the curve starting with the blue pixel to identify a colored marker at the other end (here brown), which cued the target color that the model should select at the left of the grid. Each trial started with the full stimulus in view.