Neurogenesis-mediated circuit remodeling reduces engram reinstatement and promotes forgetting
Bibliographic record
Abstract
ABSTRACT Post-training increases in hippocampal neurogenesis are associated with forgetting of hippocampus-dependent memories in adult mice. This form of forgetting might be due to increased numbers of new neurons, remodeling of hippocampal circuitry or some combination of both. Here we tested the hypothesis that neurogenesis-mediated forgetting is caused by remodeling of hippocampal circuits by engineering mice in which adult-generated granule cells hypo- or hyper-integrate into hippocampal circuits. Using gene deletion, opto- and chemogenetic strategies, we find that hypo-integration of newborn neurons prevents post- training exercise-induced forgetting of contextual fear memories. Conversely, inducing hyper- integration of newborn neurons following contextual fear conditioning is sufficient to produce forgetting. Because these interventions did not affect survival of newborn neurons, these findings suggest that neurogenesis-mediated remodeling of hippocampal circuits represents a continuous and active form of interference that alters accessibility of engrams underlying hippocampal memories. Consistent with this, using engram-labeling approaches, we found that exercise-induced forgetting was associated with reduced engram reactivation.
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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) | 0.002 | 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".