Differential Effects of Estrogen on Memory Processes and Learning Strategies: A Selective Review of Animal Studies
Bibliographic record
Abstract
estrogen has differential effects on learning and memory. The direction of these effects depends on a variety of factors including the type of memory process, task specific demands, dose and time course of treatment. While some processes, including working memory, spatial memory and place learning, are improved in high estrogen conditions, other processes such as amygdala-dependent associative memory, reference memory and response learning are impaired. Furthermore, learning strategy is sensitive to the effects of estrogen. specifically, high estrogen conditions promote the use of a hippocampus-dependent strategy, while low estrogen levels bias learning towards a response strategy. In humans, the evidence for effects of estrogen on cognitive function is controversial and the mechanisms of action are not fully understood. This review will discuss major findings from animal studies, highlighting the modulatory effects of estrogen on learning and memory, possible neurobiological mechanisms underlying these effects and the implications of these findings for future investigations of the cognitive effects of estrogen in humans.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".