ArticleeLife2020
Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Perceptual misalignment of texture representations in convolutional neural networks.Journal of vision · 2026Article
- Narrowing the gap between analytically convenient and naturalistic stimuli.Journal of vision · 2026Article
- Article
- Synergistic Geniculate and Cortical Dynamics Facilitate a Decorrelated Spatial Frequency Code in the Early Visual System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Slow and steady: auditory features for discriminating animal vocalizations.bioRxiv : the preprint server for biology · 2024Article
- Sensitivity to naturalistic texture relies primarily on high spatial frequencies.Journal of vision · 2023Article
- Discrimination of textures with spatial correlations and multiple gray levels.Journal of the Optical Society of America. A, Optics, image science, and vision · 2023Article
- Geometry of spiking patterns in early visual cortex: a topological data analytic approach.Journal of the Royal Society, Interface · 2022Article
- How does an organism extract relevant information from transcription factor concentrations?Biochemical Society transactions · 2022Review
- Efficient information coding and degeneracy in the nervous system.Current opinion in neurobiology · 2022Review
- Functional recursion of orientation cues in figure-ground separation.Vision research · 2022Article
- Efficient processing of natural scenes in visual cortex.Frontiers in cellular neuroscience · 2022Review
- Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes.eLife · 2021Article
- Dynamical self-organization and efficient representation of space by grid cells.Current opinion in neurobiology · 2021Review
- Redundancy between spectral and higher-order texture statistics for natural image segmentation.Vision research · 2021Article
- Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures.eLife · 2020Article
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Authors and funding
6 authors.
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Abstract
Previously, in Hermundstad et al., 2014, we showed that when sampling is limiting, the efficient coding principle leads to a 'variance is salience' hypothesis, and that this hypothesis accounts for visual sensitivity to binary image statistics. Here, using extensive new psychophysical data and image analysis, we show that this hypothesis accounts for visual sensitivity to a large set of grayscale image statistics at a striking level of detail, and also identify the limits of the prediction. We define a 66-dimensional space of local grayscale light-intensity correlations, and measure the relevance of each direction to natural scenes. The 'variance is salience' hypothesis predicts that two-point correlations are most salient, and predicts their relative salience. We tested these predictions in a texture-segregation task using un-natural, synthetic textures. As predicted, correlations beyond second order are not salient, and predicted thresholds for over 300 second-order correlations match psychophysical thresholds closely (median fractional error <0.13).
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