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Record W1975845756 · doi:10.1037/0735-7044.117.3.426

Differential involvement of nucleus accumbens shell and core subregions in maternal memory in postpartum female rats.

2003· article· en· W1975845756 on OpenAlexaff
Ming Li, Alison S. Fleming

Bibliographic record

VenueBehavioral Neuroscience · 2003
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNucleus accumbensMemory consolidationPsychologyEndocrinologyNeuroscienceInternal medicineDevelopmental psychologyMedicineCentral nervous systemHippocampus

Abstract

fetched live from OpenAlex

Maternal memory refers to the long-term retention of maternal responsiveness as a consequence of animals' prior experiences with their young. This study examined the relative roles of 2 subregions of the nucleus accumbens (NA; shell and core) in maternal memory in rats. NA shell lesions either before or immediately after a short experience significantly disrupted maternal memory, but lesions after a 24-hr maternal experience had no effect. NA core lesions had no significant impact on maternal memory. Cycloheximide (a protein synthesis inhibitor) at a high dose (25 micrograms/microliter) infused in the NA shell immediately after 1 hr of maternal experience also significantly disrupted maternal memory, whereas infusions in the medial preoptic area had no effect. It was concluded that the NA shell, but not the NA core, is involved in the consolidation of maternal memory.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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.

Opus teacher head0.111
GPT teacher head0.368
Teacher spread0.257 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations92
Published2003
Admission routes1
Has abstractyes

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