ArticleeLife2022
Cortical activity during naturalistic music listening reflects short-range predictions based on long-term experience.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Human newborns form musical predictions based on rhythmic but not melodic structure.PLoS biology · 2026Article
- Chimeric Music Reveals an Interaction of Pitch and Time in Electrophysiological Signatures of Music Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Discovery, Interruption, and Updating of Auditory Regularities in Memory: Evidence from Low-Frequency Brain Dynamics in Human MEG.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects.PLoS computational biology · 2025Review
- The Effect of Previously Encountered Sensory Information on Neural Representations of Predictability: Evidence From Human EEG.The European journal of neuroscience · 2025Article
- The impact of musical expertise on disentangled and contextual neural encoding of music revealed by generative music models.Nature communications · 2025Article
- Children's cortical speech tracking in face-to-face and online video communication.Scientific reports · 2025Article
- EEG of the Dancing Brain: Decoding Sensory, Motor, and Social Processes during Dyadic Dance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Cortical and behavioral tracking of rhythm in music: Effects of pitch predictability, enjoyment, and expertise.Annals of the New York Academy of Sciences · 2025Article
- Figure-ground relationship of voices in musical structure modulates reciprocal frontotemporal connectivity.Frontiers in neuroscience · 2025Article
- Beyond school gates: the role of motivation in music learning on elementary school students' daily music listening behaviors.Frontiers in psychology · 2025Article
- The impact of prior knowledge on perceiving vocal elements in MIDI-converted music.Frontiers in psychology · 2025Article
- Neural encoding of melodic expectations in music across EEG frequency bands.The European journal of neuroscience · 2024Article
- Article
- The association between liking, learning and creativity in music.Scientific reports · 2024Article
- Encoding of melody in the human auditory cortex.Science advances · 2024Article
- Implicit auditory memory in older listeners: From encoding to 6-month retention.Current research in neurobiology · 2023Article
- The effect of familiarity on neural tracking of music stimuli is modulated by mind wandering.AIMS neuroscience · 2023Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Expectations shape our experience of music. However, the internal model upon which listeners form melodic expectations is still debated. Do expectations stem from Gestalt-like principles or statistical learning? If the latter, does long-term experience play an important role, or are short-term regularities sufficient? And finally, what length of context informs contextual expectations? To answer these questions, we presented human listeners with diverse naturalistic compositions from Western classical music, while recording neural activity using MEG. We quantified note-level melodic surprise and uncertainty using various computational models of music, including a state-of-the-art transformer neural network. A time-resolved regression analysis revealed that neural activity over fronto-temporal sensors tracked melodic surprise particularly around 200ms and 300-500ms after note onset. This neural surprise response was dissociated from sensory-acoustic and adaptation effects. Neural surprise was best predicted by computational models that incorporated long-term statistical learning-rather than by simple, Gestalt-like principles. Yet, intriguingly, the surprise reflected primarily short-range musical contexts of less than ten notes. We present a full replication of our novel MEG results in an openly available EEG dataset. Together, these results elucidate the internal model that shapes melodic predictions during naturalistic music listening.
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