Interplay of oxytocin, vasopressin, and sex hormones in the regulation of social recognition.
Bibliographic record
Abstract
Social Recognition is a fundamental skill that forms the basis of behaviors essential to the proper functioning of pair or group living in most social species. We review here various neurobiological and genetic studies that point to an interplay of oxytocin (OT), arginine-vasopressin (AVP), and the gonadal hormones, estrogens and testosterone, in the mediation of social recognition. Results of a number of studies have shown that OT and its actions at the medial amygdala seem to be essential for social recognition in both sexes. Estrogens facilitate social recognition, possibly by regulating OT production in the hypothalamus and the OT receptors at the medial amygdala. Estrogens also affect social recognition on a rapid time scale, likely through nongenomic actions. The mechanisms of these rapid effects are currently unknown but available evidence points at the hippocampus as the possible site of action. Male rodents seem to be more dependent on AVP acting at the level of the lateral septum for social recognition than female rodents. Results of various studies suggest that testosterone and its metabolites (including estradiol) influence social recognition in males primarily through the AVP V1a receptor. Overall, it appears that gonadal hormone modulation of OT and AVP regulates and fine tunes social recognition and those behaviors that depend upon it (e.g., social bonds, social hierarchies) in a sex specific manner. This points at an important role for these neuroendocrine systems in the regulation of the sex differences that are evident in social behavior and of sociality as a whole.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".