Perirhinal input to neocortical layer 1 controls learning
Bibliographic record
Abstract
Memory consolidation in the neocortex Information transfer between brain structures located in the medial-temporal lobe and the neocortex is essential for learning. However, the neuronal underpinnings of this transfer are unknown. Doron et al. found that neurons located in the deep layers of the perirhinal cortex exhibit increased firing after microstimulation upon learning (see the Perspective by Donato). Learning was associated with the emergence of a small population of neurons in layer 5 of the somatosensory cortex that increased bursting upon stimulation. This increase in bursting was accompanied by an increase in dendritic activity, and silencing the perirhinal cortex to layer 1 projection effectively disrupted learning and its physiological correlates. During learning, perirhinal inputs thus act as a gate for the enhancement of cortico-cortical inputs, which are necessary for stimulus detection and are strengthened during learning. Science , this issue p. eaaz3136 ; see also p. 1410
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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) | 0.000 | 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".