Generalizing biological surround suppression based on center surround similarity via deep neural network models
Fig 8
Surround suppression of naturalistic textures and noise.
A. Naturalistic textures and spectrally matched noise used in the experiments. Naturalistic textures were synthesized using an algorithm described in Methods. B. Texture tuning of an example CNN neuron. The “optimal” textures for each CNN neuron was determined by the textures with the highest modulation index (see details in Methods). The “optimal” textures were then used to study the texture surround effects. C. Texture and noise diameter tuning curves for an example CNN neuron. D. Averaged naturalistic texture and spectrally matched noise diameter tuning curves in V2 neurophysiology data (Reproduced from [31]). Noise induces stronger surround suppression. E. Averaged diameter tuning curves in CNN layers. Noise appears to induce stronger surround suppression in most layers.