Receptive Field Inference with Localized Priors

doi:10.1371/journal.pcbi.1002219

Receptive Field Inference with Localized Priors

Figure 4

Menagerie of simulated examples.

Noisy responses to 1600 random 1/F Gaussian stimuli were simulated and used for training. The leftmost column shows the true filter (a pixel image), while subsequent columns show various estimates. The mean squared error of each estimate is indicated below in red. Filters shown include: (A) Oriented Gabor filter, typical of a V1 simple cell; (B) Smaller Gabor filter; (C) center-surround “difference-of-Gaussians” filter, typical of retinal ganglion cells; D) grid cell with multiple non-zero regions (localized in the Fourier domain but not in space); (E) circularly windowed Gaussian white noise (localized in space but not in frequency); (F) full field Gaussian noise (not localized in space or frequency). ALDsf performs at or near the optimum for all examples we examined.

doi: https://doi.org/10.1371/journal.pcbi.1002219.g004