Figure 5: Robustness of the information bottleneck across hyperparameters and computational advantage.

Varying (a) proportion of feedforward connections in an unconstrained network, (b) E-I connections in a Dale’s law network, (c) the proportion of feedforward and feedback E-E connections in a Dale’s law network, (d) the number of areas, and (e) the machine learning hyperparameters revealed that Area 3 color variance and color accuracy decrease as long as there is a connectivity bottleneck between areas. (f) Summary of these results quantifying usable information.