(a1–a4) Model A (Givon et al., 2017), (b1–b4) Model B (Kakaria and de Bivort, 2017), (c1–c4) Model C (Su et al., 2017). (a1, b1, c1) Morphology of the neurons visualized in the NeuroNLP window (see Figure 2b). Displayed number of neurons in: (a1) 366, (a2) 87, (a3) 54. (a2, b2, c2) Neuronal circuits in the NeuroNLP window depicted in the NeuroGFX window (see Figure 2b) as abstract interactive circuit diagrams. The naming of the ring neurons in (c2) follows Su et al., 2017. Number of neurons in the diagram: (b1) 348, (b2) 60, (b3) 56. As the FlyCircuit dataset contains duplicates, some neurons in the diagrams may correspond to multiple neurons in the dataset and some do not have correspondences due to the lack of morphology data. (a3, b3, c3) When a single vertical bar is presented in the visual field (d1/d2), different sets of neurons/subregions (highlighted) in each of the models, respectively, receive either current injections or external spike inputs. (a4, b4, c4) The mean firing rates of the EB-LAL-PB neurons innervating each of the EB wedges of the three models (see Materials and methods, Use Case 4), in response to the stimulus shown in (d3). Insets show the rates at 10, 20, and 30 s, respectively, overlaid onto the EB ring. (d1) A schematic of the visual field surrounding the fly. (d2) The visual field flattened. (d3) Input stimulus consisting of a bar moving back and forth across the screen, and a second fixed bar at and with lower brightness.