ReviewBrain sciences2018
Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy, and Uncertainty.
Review in Brain sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 88 citations in OpenAlex.
- The neurobiology of human sequential signal prediction: Insights from language, music, and mathematics.Neuroscience research · 2026Review
- Direct brain recordings reveal implicit encoding of structure in random auditory streams.Scientific reports · 2025Article
- Neural tracking of auditory statistical regularities in adults with and without dyslexia.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Temporal dynamics of uncertainty and prediction error in musical improvisation across different periods.Scientific reports · 2024Article
- Music Listening as Exploratory Behavior: From Dispositional Reactions to Epistemic Interactions with the Sonic World.Behavioral sciences (Basel, Switzerland) · 2024Review
- Seeking the neural representation of statistical properties in print during implicit processing of visual words.NPJ science of learning · 2023Article
- Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple cultures.Scientific reports · 2023Article
- Flexible structure learning under uncertainty.Frontiers in neuroscience · 2023Article
- Order of statistical learning depends on perceptive uncertainty.Current research in neurobiology · 2023Article
- Modality, presentation, domain and training effects in statistical learning.Scientific reports · 2022Article
- Cancer Segmentation by Entropic Analysis of Ordered Gene Expression Profiles.Entropy (Basel, Switzerland) · 2022Article
- Brain-correlates of processing local dependencies within a statistical learning paradigm.Scientific reports · 2022Article
- Linking the neural basis of distributional statistical learning with transitional statistical learning: The paradox of attention.Neuropsychologia · 2022Article
- Relevance to the higher order structure may govern auditory statistical learning in neonates.Scientific reports · 2022Article
- Unpredictability of the "when" influences prediction error processing of the "what" and "where".PloS one · 2022Article
- Neurophysiological and functional neuroanatomical coding of statistical and deterministic rule information during sequence learning.Human brain mapping · 2021Article
- Statistical Properties of Musical Creativity: Roles of Hierarchy and Uncertainty in Statistical Learning.Frontiers in neuroscience · 2021Review
- Beta-Band Activity Is a Signature of Statistical Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Advances in the Neurocognition of Music and Language.Brain sciences · 2020Article
- When the statistical MMN meets the physical MMN.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Statistical learning (SL) is a method of learning based on the transitional probabilities embedded in sequential phenomena such as music and language. It has been considered an implicit and domain-general mechanism that is innate in the human brain and that functions independently of intention to learn and awareness of what has been learned. SL is an interdisciplinary notion that incorporates information technology, artificial intelligence, musicology, and linguistics, as well as psychology and neuroscience. A body of recent study has suggested that SL can be reflected in neurophysiological responses based on the framework of information theory. This paper reviews a range of work on SL in adults and children that suggests overlapping and independent neural correlations in music and language, and that indicates disability of SL. Furthermore, this article discusses the relationships between the order of transitional probabilities (TPs) (i.e., hierarchy of local statistics) and entropy (i.e., global statistics) regarding SL strategies in human's brains; claims importance of information-theoretical approaches to understand domain-general, higher-order, and global SL covering both real-world music and language; and proposes promising approaches for the application of therapy and pedagogy from various perspectives of psychology, neuroscience, computational studies, musicology, and linguistics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.