Bibliographic record
Abstract
The auditory cortex builds representations of the auditory environment based on the characteristics of its input. I will present EEG and MEG data showing that, compared to non-musicians, adult musicians have enhanced responses to isolated musical tones, melodic sequences, and simultaneous melodies. Whether these differences are the result of musical experience is explored through training studies in adults and longitudinal studies comparing children engaged in musical lessons with children engaged in other activities. It will be shown that auditory sensory representations undergo a protracted developmental trajectory, not reaching adult states until well into the teenage years. Furthermore, the effects of musical experience can be seen in children as young as 4–5 years of age for both sensory and attentional components of the event-related potential. High-frequency oscillatory EEG activity (induced gamma band), which is associated with executive control, attention, and memory, emerges after 1 year of music lessons in children of this age, but is not seen in children who are not taking music lessons. Thus any benefits of musical training for other cognitive domains is likely mediated by the development of superior executive functioning.
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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 | 0.001 |
| 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) | 0.004 | 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".