Place navigation in the Morris water task results in greater nuclear <i>Arc</i> mRNA expression in dorsal compared to ventral CA1
Bibliographic record
Abstract
Previous work has shown that the dorsal hippocampus has greater activity than ventral regions during place navigation. Exposure to a novel context has also been found to increase hippocampal activation, possibly due to increased spatial demands. However, activation patterns in dorsal and ventral regions have not been investigated in the Morris water task (MWT), which remains the most popular assay of place memory in rodents. We measured activity in a large population of neurons across the CA1 dorsal-ventral axis by estimating nuclear Arc mRNA with stereologic systematic-random sampling procedures following changes to goal location or spatial context in the MWT in rats. Following changes to goal location or spatial context in the MWT, we did not find an effect on Arc mRNA expression in CA1. However, Arc expression was greater in the dorsal compared to the ventral aspect of CA1 during task performance. Several views might account for these observed differences in dorsal-ventral Arc mRNA expression, including task parameters or the granularity of representation that differs along the dorsal-ventral hippocampal axis. Future work should determine the effects of task differences and required memory precision in relation to dorsal-ventral hippocampal neuronal activity.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".