A Role for Adult Born Neurons in Memory Processing
Bibliographic record
Abstract
Throughout adulthood, the brain continuously generates new neurons in two neurogenic regions: the subgranular zone of the hippocampus and the subventricular zone on the lateral wall of the lateral ventricles. These neurons have been shown to integrate into hippocampal and olfactory bulb circuitry, respectively. Nevertheless, their specific contribution to hippocampal or olfactory function remains unclear. Previous studies have tried to assess adult born neuron contribution to memory function by suppressing neurogenesis and examining the impact on memory acquisition. Although ablation of neurogenesis has been shown to impair performance in hippocampus dependent and olfactory tasks, many studies fail to see an effect. Compensation from residual cells in either system after ablation may underlie these contradictory findings. Thus, a more direct approach to answer this question would be to ablate adult born neurons after their incorporation into the memory trace. To do this, we established a double transgenic strategy to tag and selectively ablate adult born neurons with temporal control. Ablation of a population of predominantly mature, adult generated dentate granule cells did not prevent acquisition of contextual fear conditioning or Morris Water Maze memories. Removal of that same population of cells after training, however, led to memory degradation in three hippocampus dependent tasks. Similarly, post-training ablation of a population of adult generated olfactory interneurons\niii\nimpaired performance in an associative odour memory task, whereas pre-training ablation had no impact. Together, these data show that adult generated neurons form a crucial component of both hippocampal and olfactory memory traces.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".