Intracellular Recordings from Neurons of the Arcuate Nucleus in Superfused Explants of Rat Hypothalamus
Bibliographic record
Abstract
The membrane properties of arcuate nucleus (ARN) neurons and their connections with extranuclear regions were examined in vitro, using intracellular recordings obtained in superfused explants of rat hypothalamus. Current-clamp analysis revealed that the electroresponsive properties of a large proportion of ARN neurons are influenced by the expression of various forms of low threshold rectification. When the initial membrane potential of a neuron was maintained negative to -70 mV, depolarizing current injection could precipitate an immediate bursting response, due to the activation of a low-threshold spike, or delay firing as a result of transient outward rectification. These properties represent a means by which changes in membrane potential may modulate the responsiveness of ARN neurons to synaptic input. Indeed, electrical stimulation revealed that in addition to efferent projections to the supraoptic nucleus, medial preoptic area, or neurointermediate pituitary, subgroups of ARN neurons may receive a reciprocal, or collateral innervation from each of these areas. This functional diversity of intrinsic and synaptic mechanisms provides ARN neurons with a high capacity for the complex local processing of afferent information.
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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 | 0.001 | 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".