Osmoregulatory Circuits in Slices and En Bloc Preparations of Rodent Hypothalamus
Bibliographic record
Abstract
Osmoregulatory neural networks in the mammalian hypothalamus are responsible for keeping plasma osmolality near a constant set point. This process involves primary osmosensory neurons located in the organum vasculosum lamina terminalis (OVLT) and effector neurons located elsewhere in the hypothalamus and in other parts of the brain. Hypothalamic effector neurons include vasopressin (VP)- and oxytocin (OT)-releasing magnocellular neurosecretory cells (MNCs) in the supraoptic (SON) and paraventricular nuclei. Osmotically induced changes in action potential discharge by MNCs cause proportional changes in VP and OT release into the blood to modulate water and sodium excretion at the kidney. This osmotic regulation of firing rate in MNCs plays a critical role in the maintenance of body fluid balance. In this chapter, we describe spontaneously active in vitro preparations of rodent hypothalamus that have been developed for the specific purpose of studying how osmosensory neurons in the OVLT and other hypothalamic structures regulate MNCs in the SON.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".