Bibliographic record
Abstract
The auditory cortex undergoes anatomical and functional development that reflects specialization for learned sounds. Auditory maturation is evident in the transient auditory evoked potentials (AEPs) and auditory phase-locked oscillatory activity. Development of AEPs and the phase-locking strength of oscillatory auditory responses to piano, violin, and pure tones were examined. The hypothesis was that if oscillatory activity in different frequency bands reflects different aspects of sound processing, then the development of phase-locking at these frequencies will have different maturational trajectories. Phase-locking for theta (4–8 Hz), alpha (8–14 Hz), lower-to-mid-beta (14–25 Hz), and upper beta and gamma (25–70 Hz) bands strengthened with age and was stronger for musical than pure tones. The phase-locking increase for gamma and upper beta bands mainly reflected the maturation of the spectral representations for sounds. In contrast, increase in phase-locking for theta, alpha, and lower-to-mid-beta was mainly attributed to sensitivity to sound temporal onset rise time. Frequency-specific phase-locking provides a tool to assess auditory development for spectral and temporal aspects of naturalistic complex sounds. [This research was supported by grants from the Canadian Institutes of Health Research and the National Institutes of Health, National Institute on Deafness and other Communication Disorders.]
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 | 0.000 | 0.004 |
| 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) | 0.003 | 0.001 |
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".