Generalizing biological surround suppression based on center surround similarity via deep neural network models
Fig 6
The most suppressive surround depends on the center pattern.
A. An example neuron in VGG16 layer 10. The first row is the center stimulus used to optimize the most suppressive surround; the second row is the most suppressive surround using the corresponding center in the first row. The first column is this neuron’s optimal center; the remaining columns are center patterns from the other neurons. B. Visualizations of most suppressive surround of 5 neurons with exchanged centers. The first column shows 5 optimal centers for the 5 selected neurons. Other columns are the most suppressive surround with different centers. The visualizations on the diagonal line used neurons’ own optimal center. The most suppressive surround strongly depends on the center pattern. Some most suppressive surrounds visually matched the center pattern.