ArticleJournal of vision2022
Nature in motion: The tuning of the visual system to the spatiotemporal properties of natural scenes.
Article in Journal of vision, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Training in Gabor Orientation Identification Optimizes the Temporal Window of Adults With Anisometropic Amblyopia.Investigative ophthalmology & visual science · 2026Article
- Video-evoked neuromarkers of visual function in age-related macular degeneration.Frontiers in human neuroscience · 2025Article
- Estimating receptive fields of simple and complex cells in early visual cortex: A convolutional neural network model with parameterized rectification.PLoS computational biology · 2024Article
- Topographically Localized Modulation of Tectal Cell Spatial Tuning by Complex Natural Scenes.eNeuro · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
Natural scenes contain several statistical regularities despite their superficially diverse appearances (e.g., mountains, rainforests, deserts). First, they exhibit a unique distribution of luminance intensities decreasing across spatial frequency, known as the 1/fα amplitude spectrum (α ≈ 1). Additionally, natural scenes share consistent geometric properties, comprising similar densities of structure across multiple scales-a property classifying them as fractal (e.g., how the branching patterns of rivers and trees appear similar irrespective of scale). These two properties are intimately related and correlate strongly in natural scenes. However, research using thresholded noise images suggests that spatially, the human visual system is preferentially tuned to natural scene structure more so than 1/fα spectra. It is currently unclear whether this dependency on natural geometry extends to the temporal domain. We used a psychophysics task to measure discrimination sensitivity toward two types of synthetic noise movies: gray scale and thresholded (N = 60). Each movie type shared the same geometric properties (measured fractal D), but substantially differing spectral properties (measured α). In both space and time, we observe a characteristic dependency on stimulus structure across movie types, with sensitivity peaking for stimuli with natural geometry despite having altered 1/fα spectra. Although only measured behaviorally, our findings may imply that the neural processes underlying this tuning have developed to be sensitive to the most stable signal in our natural environment-structure (e.g., the structural properties of a tree are consistent from morning to night despite illumination changes across time points).
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