Visual short-term memory for natural scenes: Effects of eccentricity
Bibliographic record
Abstract
It is well established that a range of basic visual acuities and sensitivities decline with retinal eccentricity due in part to a decline in spatial sampling in the retina. However, it is also known that not all peripheral deficits can be explained entirely by such low-level factors, suggesting a specialization of central vision for certain visual tasks. Here, we examine visual short-term memory for natural scenes and ask whether low-level factors can fully account for variations in performance across the visual field. We measure local recognition performance as a function of eccentricity for both coherent and scrambled natural scenes. We find that while spatial coherence substantially increases recognition rates for targets near fixation, the benefit of spatial coherence vanishes in the periphery. These results suggest that low-level factors cannot fully explain the decline in visual short-term memory for natural scenes in the periphery and that mechanisms selective for global configuration are largely confined to the central visual field.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".