Alcohol and Lateral Inhibitory Interactions in Human Vision
Bibliographic record
Abstract
Acute alcohol consumption detrimentally affects many aspects of visual function, but few studies have addressed the neural mechanisms underlying such changes. One candidate mechanism that may be responsible for some alcohol-induced changes in visual function is lateral inhibition. Alcohol has been shown to abolish lateral inhibitory interactions in experimental preparations in which it is applied directly to the retina, but few studies have attempted to link alcohol-induced reductions in lateral inhibitory interactions with psychophysical performance in assessments of visual function dependent on this mechanism. In the present series of studies we addressed this by investigating the effects of alcohol consumption on a perceptual phenomenon mediated in part by lateral inhibition, the Hermann grid illusion. Participants estimated the contrast of the illusory blobs present at the grid intersections using a matching procedure after consumption of a drink containing alcohol or a nonalcoholic drink. The magnitude of the illusion was diminished in the alcohol condition, and this effect was consistent when we parametrically varied the contrast of the grid squares and widths of the grid bars. These data suggest that alcohol reduces lateral inhibitory interactions in human vision.
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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 | 0.001 |
| 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 | 0.001 |
| 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".