10.4172/0975-9042.000122
Bibliographic record
Abstract
mutants that lacked any head vasculature. Thus, numerous oculomotor neuronal circuits spanning the forebrain, midbrain and hindbrain compartments, ending in motor innervations of the eye muscles, were correctly formed and generated appropriate oculomotor behaviors without blood vessels. However, our observations indicate that beginning at approximately six days, circulation was required for sustained behavioral performance. We further found that blocking neuronal excitability with either TTX or Tricaine up to 4-5 days post fertilization did not noticeably interfere with intracerebral blood vessel formation in wild type larvae. After removal of drug treatments, the oculomotor behaviors returned within hours. Thus, development of neuronal circuits that drive oculomotor performance does not require neuronal spiking or activity. Together these findings demonstrate that neither vascularization nor neuronal excitability are essential for the formation of numerous oculomotor nuclei with intricately designed connectivity and signal processing. We conclude that a genetic blueprint specifies early larval structural and physiological features, and this developmental strategy may be viewed as a unique adaptation required for early survival.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.965 | 0.964 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".