Emergent spatial goals in an integrative model of the insect central complex
Fig 10
Navigating using the MB long-term visual memory.
(A) Mushroom body model. Visual input is based on the blue channel of an insect-inspired eye model (see Fig B in S1 Text), with lateral inhibition to encode edges in the layer of visual projection neurons (vPN) that provide input to the MB. (B) Left panel Diagram of the initiation of the MB “snapshot” memory following a straight route. Right panel Boxplot of the MB model performance index for the 2 versions of the model (see details in Fig H in S1 Text). (C) Simulation without PI. Left panel Path of 15 route following attempts for 1 single route learned. The red arrow indicates the learned route. Right panel Heatmap of 8 pooled simulations, realigned on the learned route direction (red arrow). (D) Simulation with PI, similar to (C) panels. (E) Boxplots of, from left to right, the average distance to the route (on the whole path and on the path detected on the route, see Fig G in S1 Text), the percentage of route traveled and the minimal distance to the end route. All the data have been filtered based on the MB performance index (B). (F) Success rate measured at different portions of the route for the model with (blue stars) or without (red triangles) PI. Individual simulations (1 single route learning and 15 route following attempts) are indicated in thin lines while pooled data are indicated in thick lines. Clipart(s) in the figure have been modified from https://openclipart.org/.