Perineuronal nets in the rodent suprachiasmatic nucleus
Bibliographic record
Abstract
The circadian system maintains highly stable rhythms over the lifespan. The precision of the circadian clock emerges from the network organization of the master clock located in the suprachiasmatic nucleus (SCN). Perineuronal nets (PNNs), condensed extracellular matrix structures that are composed of chondroitin sulfate proteoglycans, help maintain synaptic connections in many brain regions after the end of critical developmental periods. We examine here if the SCN of mice, rats and hamsters contain PNNs. It was observed that mice and rats had little if any PNN staining in their SCN, while the SCN of hamsters had intense PNN staining. While PNNs were observed throughout the whole SCN, the staining was more intense in the Calbindin D28K and Arginine Vasopressin regions of the SCN. Their appearance over development lags when retinal innervation of the SCN would be expected, reaching adult-like levels around 20-25 days postnatal. Removal of PNNs from the adult SCN enhances phase shift responses to both phase delay and phase advancing light pulses. These findings indicate that PNNs may help regulate circadian properties of some, but not all, species.
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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 | 0.000 |
| 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".