Enhanced Plasticity in Zincergic, Cortical Circuits after Exposure to Enriched Environments
Bibliographic record
Abstract
Despite the plethora of reports that demonstrate plasticity in the mammalian cerebral cortex, the characterization of the cellular mechanisms that mediate it is sparse. Here, we show that the magnitude of the experience-dependent regulation of vesicular zinc is significantly increased through enriched-environment housing. Mice were reared either in a deprived environment and subsequently housed in deprived, minimally enriched, or enriched conditions after the removal of the c-row of vibrissae or reared in an enriched environment before and after vibrissae removal. Levels of vesicular zinc were assessed in deprived and nondeprived barrels 6 h to 14 d after vibrissae removal. We found that housing in enriched environmental conditions resulted in a greater change in vesicular zinc levels than did other housing conditions; however, this effect was dependent on both the magnitude and duration of enrichment. Our data indicate that enriched-environment housing has profound effects on the regulation of vesicular zinc that occurs concurrently with experience-dependent plasticity, suggesting a role for zinc in the multitude of cortical modifications associated with enriched environments.
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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) | 0.001 | 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".