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Record W2968232576 · doi:10.1525/mp.2019.36.5.435

Electrophysiological Correlates of Key and Harmony Processing in 3-year-old Children

2019· article· en· W2968232576 on OpenAlexaff
Kathleen A. Corrigall, Laurel J. Trainor

Bibliographic record

VenueMusic Perception An Interdisciplinary Journal · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcMaster UniversityMacEwan University
Fundersnot available
KeywordsChord (peer-to-peer)PsychologyElectroencephalographyPerceptionNegativity effectEvent-related potentialSyntaxMusicalCognitive psychologyHarmony (color)Key (lock)Developmental psychologyLinguisticsCommunicationNeuroscienceComputer science

Abstract

fetched live from OpenAlex

Infants and children are able to track statistical regularities in perceptual input, which allows them to acquire structural aspects of language and music, such as syntax. However, much more is known about the development of linguistic compared to musical syntax. In the present study, we examined 3.5-year-olds’ implicit knowledge of Western musical pitch structure using electroencephalography (EEG). Event-related potentials (ERPs) were measured while children listened to chord sequences that either 1) followed Western harmony rules, 2) ended on a chord that went outside the key, or 3) ended on an in-key but less expected chord harmonically. Whereas adults tend to show an early right anterior negativity (ERAN) in response to unexpected chords (Koelsch, 2009), 3.5-year-olds in our study showed an immature response that was positive rather than negative in polarity. Our results suggest that very young children exhibit implicit knowledge of the pitch structure of Western music years before they have been shown to demonstrate that knowledge in behavioral tasks.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.027
GPT teacher head0.300
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2019
Admission routes1
Has abstractyes

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