A Simple Model of Optimal Population Coding for Sensory Systems
Figure 4
Image reconstruction examples.
We compare reconstructions from two different codes: whitening and the proposed, optimal model. The original signal (121×121 pixels) is degraded with blur and with different levels of sensory noise (−10 to 20 dB), resulting in the observed signals, where the percentage indicates the MSE relative to the original signal. These are encoded under two different cell ratios: 1∶1 (fovea) and 16∶1 (periphery) for each noise level. The reconstructed signals are obtained with the optimal decoding matrices, where the percentage indicates the MSE relative to the original signal, which can also be read out in Figure 5 (labeled by open and closed triangles for the respective eccentricities).