Audiovisual integration in people with one eye: Normal temporal binding window and sound induced flash illusion but reduced McGurk effect
Bibliographic record
Abstract
Introduction. Previously, we have shown that people with one eye have enhanced sound localization (Hoover, Harris & Steeves, 2012, EBR) and lack the visual dominance commonly found in binocular and patched viewing controls (Moro & Steeves, 2011, EBR). These results persist despite evidence that their integration of the auditory and visual components of multisensory events, when determining spatial location, is optimal (Moro, Harris & Steeves, 2014, MSR). Currently, we conducted three behavioural studies to further explore audiovisual integration in people with one eye compared to binocular and patched viewing controls. Experiment 1. We investigated the temporal component of audiovisual integration, by measuring the temporal binding window (TBW). Participants performed an audiovisual simultaneity judgment task and people with one eye showed no difference in width of TBW compared to controls despite slower performance. Experiment 2. We measured the sound induced flash illusion (SF) where participants indicated the number of light flashes paired with multiple tones. People with one eye performed no differently from controls. Experiment 3. We measured the McGurk audiovisual illusion. People with one eye showed a reduced McGurk effect compared to controls. Conclusions. It is possible that these mixed findings reflect differences in levels of processing between the three tasks. Higher level audiovisual processing (McGurk) compared to lower level audiovisual processing (TBW and SF) might benefit more from potential changes in underlying neural connectivity with eye enucleation early in life. These findings provide further evidence for changes in sensory neural connectivity in people with one eye that may serve as cross-modal adaptation for the loss of binocularity during early brain development. Meeting abstract presented at VSS 2015
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".