Persistent perceptual delay for head movement onset relative to sound onset with and without vision
Bibliographic record
Abstract
Knowing when the head moves is crucial information for the central nervous system in order to maintain a veridical representation of the self in the world for perception and action. Our head is constantly in motion during everyday activities, and thus the central nervous system is challenged with determining the relative timing of multisensory events that arise from active movement of the head. The vestibular system plays an important role in the detection of head motion as well as compensatory reflexive behaviours geared to stabilizing the self and the representation of the world. Although the transduction of vestibular signals is very fast, previous studies have found that the perceived onset of an active head movement is delayed when compared to other sensory stimuli such as sound, meaning that head movement onset has to precede a sound by approximately 80ms in order to be perceived as simultaneous. However, this past research has been conducted with participants’ eyes closed. Given that most natural head movements occur with input from the visual system, could perceptual delays in head movement onset be the result of removing visual input? In the current study, we set out to examine whether the inclusion of visual information affects the perceived timing of vestibular-auditory stimulus pairs. Participants performed a series of temporal order judgment tasks between their active head movement and an auditory tone presented at various stimulus onset asynchronies. Visual information was either absent (eyes-closed) or present while either maintaining fixation on an earth or head-fixed LED target in the dark or in the light. Our results show that head movement onset has to precede a sound with eyes-closed. The results also suggest that head movement onset must still precede a sound when fixating targets in the dark with a trend for the head having to move with less lead time with visual information and with the VOR active or suppressed. Together, these results suggest perception of head movement onset is persistently delayed and is not fully resolved with full field visual input.
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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 | 0.005 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".