NMDA receptor activity bidirectionally controls active decay of long‐term spatial memory in the dorsal hippocampus
Bibliographic record
Abstract
The time-dependent forgetting of long-term spatial memories involves activation of NMDA receptors (NMDARs) in the hippocampus. Here, we tested whether NMDARs regulate memory persistence bidirectionally, decreasing or increasing the rate of forgetting. We found that blocking NMDAR activation with AP5 or the GluN2B-selective antagonist Ro25-6981 in the dorsal hippocampus (dHPC) prevented the natural forgetting of long-term memory for the locations of objects in an open field arena. In contrast, while enhancing NMDAR function with the partial agonist D-Cycloserine did not affect the speed of forgetting for these types of memories, infusing the NMDAR co-agonist D-Serine significantly shortened their persistence. These results suggest that NMDAR activity can modulate the speed of constitutive long-term memory decay in the dHPC and that regulating NMDAR expression and D-Serine availability could provide a mechanism to control the duration of long-term memory.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".