Abstract
β |_ β / β β |_ / β |_ θ β / θ β |_ β / α α Inverse Pair Covariances in Image Statstics Match Perceptual Thresholds Principal Components of Image Statistics Match Principal Components Inferred from Psychophysical Isodiscrimination Contours compare relative contributions of di erent statistics to principal components of natural image and psychophysical analyses Features of 9D space of covariances (including pairwise plane projections and principal components) match the features of 9D space of sensitivities Variances in natural image statistics match perceptual sensitivities: The statistical regularities of natural signals provide insight into characteristics of early visual processing (e.g. the center-surround receptive fields of retinal ganglion cells). Can the match between natural signal statistics and neural processing mechanisms be extended beyond the sensory periphery?
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