Narrowing the gap between analytically convenient and naturalistic stimuli
Jonathan D. Victor · 2026
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Description
Jonathan Victor argues that the gap between tidy lab stimuli and real-world images is smaller than it looks, in this 2026 paper. Vision science leans on simple patterns like sine waves and noise because their math is clear and easy to control. Natural scenes are far richer, but the rules that make them are hidden in physical processes.
Victor notes that those processes still constrain natural images heavily, even if the constraints are not written as formulas. Computer-generated images sit in between: their rules are simpler than nature's, though their statistics stay implicit. He suggests that learning the hidden statistics of natural images, hard as it is, would make them stronger tools for experiments. Better tools would in turn reveal more about how sensory systems are designed. The paper is a short perspective aimed at researchers who choose stimuli for vision studies.
Catalog record
| CREATOR | Jonathan D. Victor |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 22 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |