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Oxytocin affects meadow vole social preferences differently by brain region and duration

2018· other· en· W6902370307 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsOxytocinAmygdalaPrairie voleMatingAffect (linguistics)HypothalamusNeuropeptide

Abstract

fetched live from OpenAlex

Poster PS2.0055 International Congress of Neuroendocrinology. Toronto, Canada. July 2018.<br><br>Poster abstract: Oxytocin is implicated in aspects of social behavior from maternal bonding to mating behavior. Oxytocin is also important for behaviors outside the reproductive context, including social recognition, aggression, and affiliation with same-sex peers. Meadow voles are seasonally social during the winter months, or short photoperiods in the lab. In short photoperiods they form selective preferences for familiar same-sex peers, and engage in some stranger-directed affiliative behavior. Oxytocin signaling modulates social behavior in female meadow voles. Early studies indicated that same-sex partner preferences are strengthened by chronic central oxytocin administration. However, acute administration of oxytocin into the lateral septum decreased partner preference. Acute administration of oxytocin to the central nucleus of the amygdala also led to a significant decrease in partner huddling, while acute central administration did not alter preferences. Site-specific administration to any of these regions did not affect total huddling time. Here I present results of these past and current studies of oxytocin together, as a way of building an integrated framework for understanding the effects of oxytocin across brain regions and time-scales. Further investigation into the influence of oxytocin administration location and timing will help shape our understanding of the role of oxytocin in behavior.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.282
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.2180.024

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.

Opus teacher head0.051
GPT teacher head0.279
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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