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Tatsuya Daikoku
Tatsuya Daikoku
Associate Professor(UniversityTokyo), Researcher(UniversityCambridge)
Bestätigte E-Mail-Adresse bei mail.u-tokyo.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Neurophysiological markers of statistical learning in music and language: hierarchy, entropy and uncertainty
T Daikoku
Brain sciences 8 (6), 114, 2018
692018
Implicit and explicit statistical learning of tone sequences across spectral shifts
T Daikoku, Y Yatomi, M Yumoto
Neuropsychologia 63, 194-204, 2014
522014
Discovering the Neuroanatomical Correlates of Music with Machine Learning
T Daikoku
Handbook of Artificial Intelligence for Music, 117-161, 2021
49*2021
Unlocking adults’ implicit statistical learning by cognitive depletion
EHM Smalle, T Daikoku, A Szmalec, W Duyck, R Möttönen
Proceedings of the National Academy of Sciences 119 (2), e2026011119, 2022
452022
Statistical learning of music-and language-like sequences and tolerance for spectral shifts
T Daikoku, Y Yatomi, M Yumoto
Neurobiology of learning and memory 118, 8-19, 2015
442015
When the statistical MMN meets the physical MMN
V Tsogli, S Jentschke, T Daikoku, S Koelsch
Scientific Reports 9 (1), 5563, 2019
382019
Pitch-class distribution modulates the statistical learning of atonal chord sequences
T Daikoku, Y Yatomi, M Yumoto
Brain and cognition 108, 1-10, 2016
372016
Statistical learning of an auditory sequence and reorganization of acquired knowledge: A time course of word segmentation and ordering
T Daikoku, Y Yatomi, M Yumoto
Neuropsychologia 95, 1-10, 2017
342017
Musical creativity and depth of implicit knowledge: spectral and temporal individualities in improvisation
T Daikoku
Frontiers in computational neuroscience 12, 89, 2018
292018
Depth and the uncertainty of statistical knowledge on musical creativity fluctuate over a composer's lifetime
T Daikoku
Frontiers in computational neuroscience 13, 441385, 2019
262019
Entropy, uncertainty, and the depth of implicit knowledge on musical creativity: computational study of improvisation in melody and rhythm
T Daikoku
Frontiers in Computational Neuroscience 12, 412402, 2018
242018
Musical expertise facilitates statistical learning of rhythm and the perceptive uncertainty: A cross-cultural study
T Daikoku, M Yumoto
Neuropsychologia 146, 107553, 2020
232020
Single, but not dual, attention facilitates statistical learning of two concurrent auditory sequences
T Daikoku, M Yumoto
Scientific reports 7 (1), 10108, 2017
232017
Time-course variation of statistics embedded in music: Corpus study on implicit learning and knowledge
T Daikoku
PloS one 13 (5), e0196493, 2018
192018
The variation of hemodynamics relative to listening to consonance or dissonance during chord progression
T Daikoku, H Ogura, M Watanabe
Neurological research 34 (6), 557-563, 2012
192012
Importance of environmental settings for the temporal dynamics of creativity
T Daikoku, Q Fang, T Hamada, Y Handa, Y Nagai
Thinking Skills and Creativity 41, 100911, 2021
172021
Physical fitness modulates incidental but not intentional statistical learning of simultaneous auditory sequences during concurrent physical exercise
T Daikoku, Y Takahashi, H Futagami, N Tarumoto, H Yasuda
Neurological research 39 (2), 107-116, 2017
162017
Statistical properties of musical creativity: Roles of hierarchy and uncertainty in statistical learning
T Daikoku, GA Wiggins, Y Nagai
Frontiers in Neuroscience 15, 640412, 2021
142021
Motor reproduction of time interval depends on internal temporal cues in the brain: Sensorimotor imagery in rhythm
T Daikoku, Y Takahashi, N Tarumoto, H Yasuda
Frontiers in psychology 9, 1873, 2018
142018
Auditory statistical learning during concurrent physical exercise and the tolerance for pitch, tempo, and rhythm changes
T Daikoku, Y Takahashi, N Tarumoto, H Yasuda
Motor Control 22 (3), 233-244, 2018
142018
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