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Tatsuya Daikoku

Showing results (1-10 of 40) with videos related to

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Frontiers in Computational Neuroscience|May 23, 2019
Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's LifetimeTatsuya Daikoku
Frontiers in Computational Neuroscience|January 9, 2019
Entropy, Uncertainty, and the Depth of Implicit Knowledge on Musical Creativity: Computational Study of Improvisation in Melody and RhythmTatsuya Daikoku
Plos One|December 20, 2019
Statistical learning and the uncertainty of melody and bass line in musicTatsuya Daikoku
Scientific Reports|October 23, 2023
Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple culturesTatsuya Daikoku
Frontiers in Psychology|April 27, 2026
Towards a theory of human creativity sustained by embodied collective intelligenceTatsuya Daikoku
Frontiers in Computational Neuroscience|October 22, 2019
Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical LearningTatsuya Daikoku
Scientific Reports|September 28, 2024
Temporal dynamics of uncertainty and prediction error in musical improvisation across different periodsTatsuya Daikoku
Frontiers in Computational Neuroscience|November 29, 2018
Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in ImprovisationTatsuya Daikoku
Plos One|May 10, 2018
Time-course variation of statistics embedded in music: Corpus study on implicit learning and knowledgeTatsuya Daikoku
Brain Sciences|June 21, 2018
Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy, and UncertaintyTatsuya Daikoku
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Frontiers in Computational Neuroscience|May 23, 2019
Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's LifetimeTatsuya Daikoku
Frontiers in Computational Neuroscience|January 9, 2019
Entropy, Uncertainty, and the Depth of Implicit Knowledge on Musical Creativity: Computational Study of Improvisation in Melody and RhythmTatsuya Daikoku
Plos One|December 20, 2019
Statistical learning and the uncertainty of melody and bass line in musicTatsuya Daikoku
Scientific Reports|October 23, 2023
Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple culturesTatsuya Daikoku
Frontiers in Psychology|April 27, 2026
Towards a theory of human creativity sustained by embodied collective intelligenceTatsuya Daikoku
Frontiers in Computational Neuroscience|October 22, 2019
Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical LearningTatsuya Daikoku
Scientific Reports|September 28, 2024
Temporal dynamics of uncertainty and prediction error in musical improvisation across different periodsTatsuya Daikoku
Frontiers in Computational Neuroscience|November 29, 2018
Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in ImprovisationTatsuya Daikoku
Plos One|May 10, 2018
Time-course variation of statistics embedded in music: Corpus study on implicit learning and knowledgeTatsuya Daikoku
Brain Sciences|June 21, 2018
Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy, and UncertaintyTatsuya Daikoku
Pageof 4