Publications of Tatsuya Daikoku

Journal Article (22)

2023
Journal Article
Daikoku, T., Jentschke, S., Tsogli, V., Bergström, K., Lachmann, T., Ahissar, M., & Koelsch, S. (2023). Neural correlates of statistical learning in developmental dyslexia: An electroencephalography study. Biological Psychology, 181. doi:10.1016/j.biopsycho.2023.108592
2020
Journal Article
Daikoku, T. (2020). 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, 34-35, 48–51.
2019
Journal Article
Daikoku, T. (2019). Statistical learning and the uncertainty of melody and bass line in music. PLoS One, 14. doi:10.1371/journal.pone.0226734
Journal Article
Daikoku, T. (2019). Implicit learning in the developing brain: An exploration of ERP indices for developmental disorders. Clinical Neurophysiology, 130, 2166–2168.
Journal Article
Daikoku, T. (2019). Tonality tunes the statistical characteristics in music: Computational approaches on statistical learning. Frontiers in Computational Neuroscience, 13. doi:10.3389/fncom.2019.00070
Journal Article
Daikoku, T. (2019). Depth and the uncertainty of statistical knowledge on musical creativity fluctuate over a composer’s lifetime. Frontiers in Computational Neuroscience, 13. doi:10.3389/fncom.2019.00027
Journal Article
Daikoku, T., & Yumoto, M. (2019). Concurrent statistical learning of ignored and attended sound sequences: An MEG study. Frontiers in Human Neuroscience, 13. doi:10.3389/fnhum.2019.00102
Journal Article
Vera, T., Sebastian, J., Daikoku, T., & Koelsch, S. (2019). When the statistical MMN meets the physical MMN. Scientific Reports, 9. doi:10.1038/s41598-019-42066-4
2018
Journal Article
Daikoku, T. (2018). Entropy, uncertainty, and the depth of implicit knowledge on musical creativity: Computational study of improvisation in melody and rhythm. Frontiers in Computational Neuroscience, 12. doi:10.3389/fncom.2018.00097
Journal Article
Daikoku, T. (2018). Musical creativity and depth of implicit knowledge: Spectral and temporal individualities in improvisation. Frontiers in Computational Neuroscience, 12. doi:10.3389/fncom.2018.00089
Journal Article
Daikoku, T., Takahashi, Y., Tarumoto, N., & Yasuda, H. (2018). Motor reproduction of time interval depends on internal temporal cues in the brain: Sensorimotor imagery in rhythm. Frontiers in Psychology, 9. doi:10.3389/fpsyg.2018.01873
Journal Article
Daikoku, T., Takahashi, Y., Tarumoto, N., & Yasuda, H. (2018). Auditory statistical learning during concurrent physical exercise and the tolerance for pitch, tempo, and rhythm changes. Motor Control, 22, 233–244.
Journal Article
Yumoto, M., & Daikoku, T. (2018). 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, 38–43.
Journal Article
Daikoku, T. (2018). Neurophysiological markers of statistical learning in music and language: Hierarchy, entropy and uncertainty. Brain Sciences, 8. doi:10.3390/brainsci8060114
Journal Article
Daikoku, T. (2018). Time-course variation of statistics embedded in music: Corpus study on implicit learning and knowledge. PLoS One, 13. doi:10.1371/journal.pone.0196493
2017
Journal Article
Daikoku, T., & Yumoto, M. (2017). Single, but not dual, attention facilitates statistical learning of two concurrent auditory sequences. Scientific Reports, 7. doi:10.1038/s41598-017-10476-x
Journal Article
Daikoku, T., Takahashi, Y., Futagami, H., Tarumoto, N., & Yasuda, H. (2017). Physical fitness modulates incidental but not intentional statistical learning of simultaneous auditory sequences during concurrent physical exercise. Neurological Research, 39, 107–116.
Journal Article
Daikoku, T., Yatomi, Y., & Yumoto, M. (2017). Statistical learning of an auditory sequence and reorganization of acquired knowledge: A time course of word segmentation and ordering. Neuropsychologia, 95, 1–10.
2016
Journal Article
Daikoku, T., Yatomi, Y., & Yumoto, M. (2016). Pitch-class distribution modulates the statistical learning of atonal chord sequences. Brain and Cognition, 108, 1–10.
2015
Journal Article
Daikoku, T., Yatomi, Y., & Yumoto, M. (2015). Statistical learning of music- and language-like sequences and tolerance for spectral shifts. Neurobiology of Learning and Memory, 118, 8–19.
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