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Journal Article (20)

  1. Journal Article
    Daikoku, T.: Tonality tunes the statistical characteristics in music: Computational approaches on statistical learning. Frontiers in Computational Neuroscience (accepted)
  2. Journal Article
    Daikoku, T.: Implicit learning in the developing brain: An exploration of ERP indices for developmental disorders. Clinical Neurophysiology (2019)
  3. Journal Article
    Daikoku, T.: Computational models and neural bases of statistical learning in music and language: Comment on “Creativity, information, and consciousness: The information dynamics of thinking” by Wiggins. Physics of Life Reviews (2019)
  4. Journal Article
    Daikoku, T.: Depth and the uncertainty of statistical knowledge on musical creativity fluctuate over a composer’s lifetime. Frontiers in Computational Neuroscience 13 (2019)
  5. Journal Article
    Daikoku, T.; Yumoto, M.: Concurrent statistical learning of ignored and attended sound sequences: An MEG study. Frontiers in Human Neuroscience 13 (2019)
  6. Journal Article
    Vera, T.; Sebastian, J.; Daikoku, T.; Koelsch, S.: When the statistical MMN meets the physical MMN. Scientific Reports 9 (2019)
  7. Journal Article
    Daikoku, T.: Entropy, uncertainty, and the depth of implicit knowledge on musical creativity: Computational study of improvisation in melody and rhythm. Frontiers in Computational Neuroscience 12 (2018)
  8. Journal Article
    Daikoku, T.: Musical creativity and depth of implicit knowledge: Spectral and temporal individualities in improvisation. Frontiers in Computational Neuroscience 12 (2018)
  9. Journal Article
    Daikoku, T.; Takahashi, Y.; Tarumoto, N.; Yasuda, H.: Motor reproduction of time interval depends on internal temporal cues in the brain: Sensorimotor imagery in rhythm. Frontiers in Psychology 9 (2018)
  10. Journal Article
    Daikoku, T.; Takahashi, Y.; Tarumoto, N.; Yasuda, H.: Auditory statistical learning during concurrent physical exercise and the tolerance for pitch, tempo, and rhythm changes. Motor Control 22 (3), pp. 233 - 244 (2018)
  11. Journal Article
    Yumoto, M.; Daikoku, T.: Neurophysiological studies on auditory statistical learning (in Japanese) 聴覚刺激列の統計学習の神経生理学的研究. Japanese journal of cognitive neuroscience (認知神経科学) 20 (1) (2018)
  12. Journal Article
    Daikoku, T.: Neurophysiological markers of statistical learning in music and language: Hierarchy, entropy and uncertainty. Brain Sciences 8 (6) (2018)
  13. Journal Article
    Daikoku, T.: Time-course variation of statistics embedded in music: Corpus study on implicit learning and knowledge. PLoS One 13 (5) (2018)
  14. Journal Article
    Daikoku, T.; Yumoto, M.: Single, but not dual, attention facilitates statistical learning of two concurrent auditory sequences. Scientific Reports 7 (2017)
  15. Journal Article
    Daikoku, T.; Takahashi, Y.; Futagami, H.; Tarumoto, N.; Yasuda, H.: Physical fitness modulates incidental but not intentional statistical learning of simultaneous auditory sequences during concurrent physical exercise. Neurological Research 39 (2), pp. 107 - 116 (2017)
  16. Journal Article
    Daikoku, T.; Yatomi, Y.; Yumoto, M.: Statistical learning of an auditory sequence and reorganization of acquired knowledge: A time course of word segmentation and ordering. Neuropsychologia 95, pp. 1 - 10 (2017)
  17. Journal Article
    Daikoku, T.; Yatomi, Y.; Yumoto, M.: Pitch-class distribution modulates the statistical learning of atonal chord sequences. Brain and Cognition 108, pp. 1 - 10 (2016)
  18. Journal Article
    Daikoku, T.; Yatomi, Y.; Yumoto, M.: Statistical learning of music- and language-like sequences and tolerance for spectral shifts. Neurobiology of Learning and Memory 118, pp. 8 - 19 (2015)
  19. Journal Article
    Daikoku, T.; Yatomi, Y.; Yumoto, M.: Implicit and explicit statistical learning of tone sequences across spectral shifts. Neuropsychologia 63, pp. 194 - 204 (2014)
  20. Journal Article
    Daikoku, T.; Ogura, H.; Watanabe, M.: The variation of hemodynamics relative to listening to consonance or dissonance during chord progression. Neurological Research 34 (6), pp. 557 - 563 (2012)
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