Postnatal accumulation of intermediate filaments in the cat and human primary visual cortex
Bibliographic record
Abstract
A principal characteristic of the mammalian visual system is its high capacity for plasticity in early postnatal development during a time commonly referred to as the critical period. The progressive diminution of plasticity with age is linked to the emergence of a collection of molecules called molecular brakes that reduce plasticity and stabilize neural circuits modified by earlier visual experiences. Manipulation of braking molecules either pharmacologically or though experiential alteration enhances plasticity and promotes recovery from visual impairment. The stability of neural circuitry is increased by intermediate filamentous proteins of the cytoskeleton such as neurofilaments and α-internexin. We examined levels of these intermediate filaments within cat and human primary visual cortex (V1) across development to determine whether they accumulate following a time course consistent with a molecular brake. In both species, levels of intermediate filaments increased considerably throughout early postnatal life beginning shortly after the peak of the critical period, with the highest levels measured in adults. Neurofilament phosphorylation was also observed to increase throughout development, raising the possibility that posttranslational modification by phosphorylation reduces plasticity due to increased protein stability. Finally, an approach to scale developmental time points between species is presented that compares the developmental profiles of intermediate filaments between cats and humans. Although causality between intermediate filaments and plasticity was not directly tested in this study, their accumulation relative to the critical period indicates that they may contribute to the decline in plasticity with age, and may also constrain the success of treatments for visual disorders applied in adulthood.
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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 | 0.001 | 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) | 0.002 | 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".