Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes
Fig 8
Linear components of RFs estimated with HSM are consistent with rLN-derived RFs.
For neurons where RFs can be discerned from the noise, the rLN model produces very similar RFs for both experimental responses (A columns) and HSM responses (B columns), indicating that the HSM is compatible with the RFs estimated by rLN. The numbers above the rLN filters obtained directly from data (A columns) show the performance (R) of the rLN model for the corresponding neuron. The two numbers above the rLN filters obtained using the prediction of the HSM (B columns) indicate the performance of the rLN model derived from the HSM prediction (before slash) and the performance of the full HSM for the corresponding neuron (after slash).