Neurogenesis and the development of neural sex differences in vocal control regions of songbirds
Bibliographic record
Abstract
The brain regions that control the learning and production of song and other learned vocalizations in songbirds exhibit some of the largest sex differences in the brain known in vertebrates and are associated with sex differences in singing behavior. Song learning takes place through multiple stages: an early sensory phase when song models are memorized, followed by a sensorimotor phase in which auditory feedback is used to modify song output through subsong, plastic song, to adult crystalized song. However, how patterns of neurogenesis in these brain regions change through these learning stages, and differ between the sexes, is little explored. We collected brains from 63 young male and female zebra finches (Taeniopygia guttata) over four stages of song learning. Using neurogenesis markers for cell division (proliferating cell nuclear antigen), neuron migration (doublecortin), and mature neurons (neuron-specific nuclear protein), we demonstrate that there are sex-specific changes in neurogenesis over song development that differ between the caudal motor pathway and anterior forebrain pathway of the vocal control circuit. In many of these regions, sex differences emerged very early in development, by 25 days post hatch, at the beginning of song learning. The emergence of sex differences in other components of the system was more gradual and had specific trajectories depending on the brain region and its function. In conclusion, we found that sex differences occurred early and continued during song learning. Moreover, transitions from the different phases of song development do not seem to depend on large changes in neurogenesis in the vocal control areas measured.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".