Computational origins of shape perception
Fig 9
Filtering raw visual experiences through artificial retinas.
(a) We created six artificial retinas, each with a different-sized foveal region. The foveal region had color filters, mimicking the high density of cone (color) receptors in the retina. The periphery had grayscale filters, mimicking the high density of rod cells in the retina. The eye filter with a radius of 7.5 units is the closest match to human eyes. (b) Color and shape sensitivity of generic fitting models trained on human visual experiences filtered through artificial retinas. All models, except the smallest model (1H), develop shape perception when trained using artificial retinas with small foveal regions (akin to human eyes). Models trained using artificial retinas with larger foveal regions failed to develop shape perception. Error bars denote standard error for each model across the color cells and shape cells shown in Fig 1b, c.