Fig. 3.

Network optimization does not imply sharpening or decorrelation. (Top) A population of filters with size and spatial frequency matched to the stimulus is optimal. (A) Tuning curves for optimal filters (black) are not sharper than for suboptimal filters (purple). (B) Noise correlations in the optimal network are not uniformly lower than in the suboptimal network. (C) Suboptimal filters cannot extract asymptotically all of the information contained in the input. Simulation parameters are specified in SI Appendix, Table S2.