Evaluating the Role Of Hippocampal Inputs to the Mammillary Nuclei In Spatial Memory
Bibliographic record
Abstract
This study sets the stage for an investigation into the role of subiculum efferents to the mammillary bodies (MB) in spatial navigation. We characterized baseline behaviour of male and female C57BL/6 mice (n = 11) in an egocentric and allocentric spatial escape assay using a Barnes maze. Egocentric testing revealed escape to a previously memorized shelter location can be encoded after a brief exploration under red light condition and that an animal’s position relative to the shelter is constantly updated for goal-directed flight. Allocentric testing revealed mice can encode a shelter location to effectively utilize distal cues for goal-directed escape. Finally, anatomical tracing experiments reveal MB-projecting subicular neurons are organized topographically such that axons originating from the dorsal or ventral subiculum terminate in the dorsal or ventral regions of the medial MB respectively. Parallel pathways may represent a functional differentiation of subicular inputs to the MB.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".