Functional convergence of developmentally and adult‐generated granule cells in dentate gyrus circuits supporting hippocampus‐dependent memory
Bibliographic record
Abstract
In the hippocampus, the production of dentate granule cells (DGCs) persists into adulthood. As adult-generated neurons are thought to contribute to hippocampal memory processing, promoting adult neurogenesis therefore offers the potential for restoring mnemonic function in the aged or diseased brain. Within this regenerative context, one key issue is whether developmentally generated and adult-generated DGCs represent functionally equivalent or distinct neuronal populations. To address this, we labeled separate cohorts of developmentally generated and adult-generated DGCs and used immunohistochemical approaches to compare their integration into circuits supporting hippocampus-dependent memory in intact mice. First, in the water maze task, rates of integration of adult-generated DGCs were regulated by maturation, with maximal integration not occurring until DGCs were five or more weeks in age. Second, these rates of integration were equivalent for embryonically, postnatally, and adult-generated DGCs. Third, these findings generalized to another hippocampus-dependent task, contextual fear conditioning. Together, these experiments indicate that developmentally generated and adult-generated DGCs are integrated into hippocampal memory networks at similar rates, and suggest a functional equivalence between DGCs generated at different developmental stages.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".