Seeing Differently in Near and Far: For Detection but Not Identification of Peripheral Targets
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Do human observers process the same retinal information differently when it comes from near versus far space? Based on neurophysiological and neuropsychological evidence researchers have proposed that visual information for near space (peripersonal, within arm's reach) and far space (extrapersonal, beyond arm's reach) is mediated predominantly by dorsal and ventral visual pathways respectively. Here we provide behavioural evidence showing that neurologically normal human observers perceive visual information in near and far space differently when the visual stimuli in both viewing conditions subtended an equal visual angle and had equal luminance. Specifically, in tasks requiring participants to detect a briefly presented target appearing at one of many possible peripheral locations on a screen, under far viewing-distance conditions, visual accuracy declined more steeply as the eccentricity of the peripheral target increased compared to near viewing-distance conditions. This near-far difference in the slopes of the accuracy-eccentricity curve was not, however, observed for visual identification tasks using the same stimulus configuration. This remarkable near/far influence on perceptual behavior observed here suggests that the brain can actively modulate the information processing in different neural streams based on the target distance information, and consequently facilitate the ecological use of the retinal information.
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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 | 0.000 |
| 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 it