Seasonal dynamics within the neurons of the hippocampus in adult female Indian Ring neck Parrots (<i>Psittacula</i><i> krameri</i>) and Asian Koels (<i>Eudynamys</i><i> scolopaceus</i>)
Bibliographic record
Abstract
In birds, a narrow strip of tissue found on the dorsomedial surface of the telencephalon and separated from the rest of the hemisphere by a ventricle is termed the hippocampal complex. Two neurohistological techniques, namely the cresyl-violet method and the Golgi–Colonnier technique, have been employed in the present study to observe seasonal dynamics within the neuronal classes of hippocampus in female Indian Ring neck Parrots (Psittacula krameri (Scopoli, 1769)) and Asian Koels (Eudynamys scolopaceus (L., 1758)). Hippocampus is known to play a central role in a variety of behaviors such as homing, visual discrimination, learning, and sexual behavior. Therefore, changes in sexual behavior during the breeding period contribute to plasticity in the hippocampus in terms of fluctuations in neuronal characteristics thereby helping the bird cope with changing conditions. A significant increase in dendritic thickness, neuronal spacing, spine morphology, and spine density were identified within the hippocampal neurons during the breeding period of the studied birds. This study establishes an overall account of seasonal dynamics occurring within the neurons of all fields of the hippocampus of birds in terms of increased dendritic thickness, spine density, spine morphology, and neuronal spacing thereby favoring the view that morphological fluctuations in neuronal characteristics during the breeding period are likely to have consequences for hippocampal neuronal function.
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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) | 0.001 | 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".