The Aging Hippocampus: Navigating Between Rat and Human Experiments
Bibliographic record
Abstract
Aging is associated with impairments in certain aspects of cognition, especially learning and memory. The hippocampus is a structure intimately involved with certain aspects of learning and memory, and is especially vulnerable to the course of aging. Recent findings, primarily from cognitive, magnetic resonance imaging, and magnetic resonance spectroscopy studies, but also briefly physiology and neurogenesis work, are reviewed. Evidence suggests that age-related impairment of hippocampus-dependent cognition is associated with changes on various levels of investigation in both humans and non-human animals. Also, the emphasis is placed on tasks and techniques that can be used to test both non-human and human animals in an attempt to bridge the gulf between the vast bodies of knowledge about the hippocampus in different species. To the extent that changes with normal aging are understood, they may aid in diagnosis, prevention, and/or treatment of age-related learning and memory deficits in both normal and pathological aging. In addition, studies of the aging hippocampus may have a side-effect in leading to a better understanding of the mechanisms that underlie learning and memory in general.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".