Canadian Association of Neurosciences Review: Postnatal Development of the Mammalian Neocortex: Role of Activity Revisited
Bibliographic record
Abstract
The mammalian neocortex is the largest structure in the brain, and plays a key role in brain function. A critical period for the development of the neocortex is the early postnatal life, when the majority of synapses are formed and when much of synaptic remodeling takes place. Early studies suggest that initial synaptic connections lack precision, and this rudimentary wiring pattern is refined by experience-related activity through selective elimination and consolidation. This view has been challenged by recent studies revealing the presence of a relatively precise pattern of connections before the onset of sensory experience. The recent data support a model in which specificity of neuronal connections is largely determined by genetic factors. Spontaneous activity is required for the formation of neural circuits, but whether it plays an instructive role is still controversial. Neurotransmitters including acetylcholine, serotonin, and gamma-Aminobutyric acid (GABA) may have key roles in the regulation of spontaneous activity, and in the maturation of synapses in the developing brain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.013 |
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".