Influence of relative saccade direction on detection of transsaccadic natural scene transitions
Bibliographic record
Abstract
Saccadic eye movements are rapid shifts of gaze that direct the fovea, from one point of interest to another. On each saccade, the entire scene streams across the retina at hundreds of degrees per second. However, this streaming is not apparent, due to a reduced visual sensitivity toward motion during saccades. We have observed that when scenes translate transsaccadically (during saccades) they are perceived as moving slower than equivalent sized intersaccadic transitions. We confirmed these findings using a magnitude estimation technique (Sadr, Allison & Vinnikov, ECVP 2007). We further explored the dependence of transsaccadic motion perception on the direction of shift in a 4AFC experiment. We examined the effect of different scene transitions relative to saccade directions both horizontally and vertically, and subjects had to indicate direction of the scene transitions if detected. Subjects sequentially fixated blinking fixation points (20o apart) indicated on each image based on horizontal or vertical saccade direction conditions. We conclude that during saccades, the magnitude of the velocity signal is attenuated as well as its detectability. Furthermore, the extent of saccadic suppression depends on the relative saccade direction and the direction of scene transition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".