Academic Journal
Foveated metamers of the early visual system.
| Τίτλος: | Foveated metamers of the early visual system. |
|---|---|
| Συγγραφείς: | Broderick W; Flatiron Institute, Simons Foundation, New York, United States., Rufo G; Meta, New York, United States., Winawer J; Department of Psychology, New York University, New York, United States.; Center for Neural Science, New York University, New York, United States., Simoncelli E; Flatiron Institute, Simons Foundation, New York, United States.; Center for Neural Science, New York University, New York, United States.; Courant Inst. for Mathematical Sciences, New York University, New York, United States. |
| Πηγή: | ELife [Elife] 2026 Oct 15; Vol. 12. Date of Electronic Publication: 2026 Oct 15. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Cambridge, UK : eLife Sciences Publications, Ltd., 2012- |
| Ιατρικοί όροι (MeSH): | Fovea Centralis*/physiology , Visual Perception* , Visual Fields* , Pattern Recognition, Visual*, Humans ; Photic Stimulation |
| Περίληψη: | The ability of humans to discriminate and identify spatial patterns varies across the visual field and is generally worse in the periphery than in the fovea. This decline in performance is revealed in many kinds of tasks, from detection to recognition. A parsimonious hypothesis is that the representation of any visual feature is blurred (spatially averaged) by an amount that differs for each feature, but that in all cases increases with eccentricity. Here, we examine models for two such features: local luminance and spectral energy. Each model averages the corresponding feature in pooling windows whose diameters scale linearly with eccentricity. We performed perceptual experiments with synthetic stimuli to determine the largest window scaling for which human and model discrimination abilities match (the 'critical' scaling). We used much larger stimuli than those of previous studies, subtending 53.6 by 42.2° of visual angle. We found that the critical scaling for the luminance model was approximately one-fourth that of the energy model and, consistent with earlier studies, that the estimated critical scaling value was smaller when discriminating a synthesized stimulus from a natural image than when discriminating two synthesized stimuli. Moreover, we found that initializing the generation of the synthesized images with natural images reduced the critical scaling value when discriminating two synthesized stimuli, but not when discriminating a synthesized from a natural image stimulus. Together, the results show that critical scaling is strongly affected by the image statistic (pooled luminance vs. spectral energy), the comparison type (synthesized vs. synthesized or synthesized vs. natural), and the initialization image for synthesis (white noise vs. natural image). We offer a coherent explanation for these results in terms of alignments and misalignments of the models with human perceptual representations. (© 2023, Broderick et al.) |
| Competing Interests: | WB, JW, ES No competing interests declared, GR Gizem Rufo is affiliated with Meta Inc. The author has no other competing interests to declare |
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| Grant Information: | R01 EY027401 United States EY NEI NIH HHS; R01EY027401 United States NH NIH HHS |
| Contributed Indexing: | Keywords: computational models; human; metamers; neuroscience; peripheral vision; psychophysics; spatial vision; visual perception |
| Entry Date(s): | Date Created: 20261015 Date Completed: 20261015 Latest Revision: 20261022 |
| Update Code: | 20261022 |
| PubMed Central ID: | PMC13671716 |
| DOI: | 10.7554/eLife.90554 |
| PMID: | 42878640 |
| Βάση Δεδομένων: | MEDLINE |
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