A Role for the Intraparietal Sulcus in Transforming Musical Pitch Information
Bibliographic record
Abstract
The present functional magnetic resonance imaging study investigates the neural substrates of relative pitch. Musicians and nonmusicians performed 2 same/different discrimination tasks (simple and transposed melody) that differed in whether they required precise encoding and comparison of relative pitch structure, along with 2 control tasks (rhythm and phoneme). The transposed melody task involved a musical transposition of 4 semitones between the target and comparison patterns, requiring listeners to use interval information rather than the absolute value of the individual pitches. Contrasting the transposed melody to the simple melody condition revealed greater activation in the cortex within the intraparietal sulcus (IPS) bilaterally; control tasks did not elicit significant activity in the IPS. Moreover, a whole-brain voxel-wise regression analysis of brain oxygenation level-dependent signal showed that activity within the right IPS predicted task performance for both musicians and nonmusicians specifically in the transposed melody condition. Successful performance of the transposed melody task requires encoding and comparison of auditory patterns having different tonal reference points-thus simple tonal memory is not sufficient. Our results point to a role for the IPS in transforming high-level auditory information. We suggest that this area may support a general capacity for transformation and comparison of systematically related stimulus attributes.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".