Short periods of perinatal acoustic experience alter the developmental trajectory of auditory cortex
Bibliographic record
Abstract
Compared to hearing subjects, psychophysical studies have revealed specific superior visual abilities following hearing loss early in development. The neural substrate for these superior abilities resides in auditory cortex that have been reorganized through crossmodal plasticity. Furthermore, the cartography of auditory cortex is altered following the loss of auditory input early in life. This study examined how perinatal exposure to brief periods of acoustic stimulation alters the developmental trajectory of auditory cortex. Movement detection, localization in the visual periphery, and face discrimination learning are superior in congenitally deaf cats. To examine the role of acoustic experience in mediating these enhanced functions, hearing animals were chemically deafened at increasing ages postnatal. Animals had 1–16 weeks of acoustic exposure prior to deafness onset. Overall, >9 weeks of acoustic experience resulted in no enhanced visual abilities. With >4 weeks of acoustic exposure, enhanced motion detection was not evident. As acoustic experience increased during development, the overall size of auditory cortex, and the size of individual auditory areas also expanded. These results demonstrate that increasingly longer periods of perinatal acoustic experience result in reduced enhanced visual abilities and an increased size of auditory cortex.
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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 | 0.000 |
| 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 | 0.001 |
| 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".