Sounds can affect visual perception mediated primarily by the parvocellular pathway
Bibliographic record
Abstract
We investigated the effect of auditory-visual sensory integration on visual tasks that were predominantly dependent on parvocellular processing. These tasks were (i) detecting metacontrast-masked targets and (ii) discriminating orientation differences between high spatial frequency Gabor patch stimuli. Sounds that contained no information relevant to either task were presented before, synchronized with, or after the visual targets, and the results were compared to conditions with no sound. Both tasks used a two-alternative forced choice technique. For detecting metacontrast-masked targets, one interval contained the visual target and both (or neither) intervals contained a sound. Sound-target synchrony within 50 ms lowered luminance thresholds for detecting the presence of a target compared to when no sound occurred or when sound onset preceded target onset. Threshold angles for discriminating the orientation of a Gabor patch consistently increased in the presence of a sound. These results are compatible with sound-induced activity in the parvocellular visual pathway increasing the visibility of flashed targets and hindering orientation discrimination.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".