Rchr
J-GLOBAL ID:201501011747558601
Update date: Mar. 31, 2024
Daikoku Tatsuya
ダイコク タツヤ | Daikoku Tatsuya
Affiliation and department:
Job title:
Associate Professor
Other affiliations (2):
-
Hiroshima University
Associate professor (visiting)
-
University of Cambridge
Researcher (Visiting)
Research field (2):
Neuroscience - general
, Basic brain sciences
Research keywords (9):
Machine learning
, Artificial intelligence
, Computational model
, Auditory
, language
, EEG
, statistical learning
, music
, MEG
Research theme for competitive and other funds (20):
- 2022 - 2025 音楽の身体知:音楽の「感動」を強化するバイオフィードバックシステムの開発
- 2022 - 2024 An integrative understanding of the cognitive function of subjectification and development of the supporting system
- 2022 - 2024 Interdisciplinary Understanding of Cognitive Basis On Creativity
- 2021 - 2024 Neuroaesthetics study on the relationship between negatively valanced aesthetic experience and humane behaviours
- 2021 - 2022 Development of a new AI that visualize musical individuality
- 2020 - 2022 Understanding of speech characteristics of autism spectrum disorder
- 2021 - 2021 Neurophysiological study of Speech perception in Autism
- 2020 - 2021 Understanding of prosodic characteristics in developmental disorder and the devising of speech simulator
- 2019 - 2021 Neuroscientific and computational system that enhances motivation for learning
- 2019 - 2020 Where does the creativity come from?: The interplay between intelligence and creativity
- 2020 - 2020 The Neurosciences and Music
- 2019 - 2020 Development of evaluation methods in Language function using integrative model of neuroscience and computation: Towards understanding developmental dyslexia.
- 2018 - 2019 Neurophysiology of music perception
- 2018 - 2019 Music characteristics retrieval based on human’s implicit leartning
- 2018 - 2019 Understanding of history in western-classical music based on human’s implicit learning: evolutionary process of musicality in brain
- 2017 - 2019 Understanding hierarchical models that share machine learning in computer and statistical learning in humans
- 2017 - 2019 Neurophysiological markers for audiovisual statistical learning of speech sequen ces in healthy and dyslexic humans: Contribution of lipreading to language acqui sition
- 2017 - 2018 Psychological study on temporal perception in Western- and Japanese-cultural music.
- 2017 - 2018 Neural study on interval-timing and rhythm perception: comparison among Japanese-cultural musician, Western-cultural musician, and non-musician
- 2016 - 2016 Imaging sensorimotor interactions using brain transcranial magnetic stimulation in combination with neuroimaging
Show all
Papers (37):
-
Tatsuya Daikoku. Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple cultures. Scientific reports. 2023. 13. 1. 18041-18041
-
Tatsuya Daikoku, Sebastian Jentschke, Vera Tsogli, Kirstin Bergström, Thomas Lachmann, Merav Ahissar, Stefan Koelsch. Neural correlates of statistical learning in developmental dyslexia: An electroencephalography study. Biological psychology. 2023. 181. 108592-108592
-
Tomohiro Ishizu, Tara Srirangarajan, Tatsuya Daikoku. Linking the Neural Correlates of Reward and Pleasure to Aesthetic Evaluations of Beauty. Current Clinical Neurology. 2023. 215-231
-
Tatsuya Daikoku, Masato Yumoto. Order of statistical learning depends on perceptive uncertainty. Current research in neurobiology. 2023. 4. 100080-100080
-
Tatsuya Daikoku, Kevin Kamermans, Maiko Minatoya. Exploring cognitive individuality and the underlying creativity in statistical learning and phase entrainment. EXCLI journal. 2023. 22. 828-846
more...
MISC (46):
-
大黒 達也. 脳の統計学習に基づく聴覚リズム処理の文化間比較-Cultural Comparison of Auditory Temporal Processing Based on Statistical Learning of the Brain. 聴覚研究会資料 = Proceedings of the auditory research meeting. 2024. 54. 1. 11-14
-
Daikoku Tatsuya. Prediction and production in auditory sequential structure and rhythm. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF JAPAN. 2024. 80. 1. 18-24
-
Tatsuya Daikoku. Shaping the Epochal Individuality and Generality: The Temporal Dynamics of Uncertainty and Prediction Error in Musical Improvisation. 2023
-
湊谷 麻衣子, 方 琦, 濱田 智仁, 大黒 達也. アルファ波の活動を高めるニューロフィードバックによる創造性促進の研究. 生体医工学. 2023. Annual61. Proc. 353-354
-
湊谷 麻衣子, 方 琦, 濱田 智仁, 大黒 達也. アルファ波の活動を高めるニューロフィードバックによる創造性促進の研究. 生体医工学. 2023. Annual61. Abstract. 197_1-197_1
more...
Patents (5):
Books (4):
-
AI時代に「自分の才能を伸ばす」ということ
2021
-
Where does the creativity come from?
2020 ISBN:4334044662
-
Discovering the Neuroanatomical Correlates of Music with Machine Learning. In Eduardo Reck Miranda (Eds.). Handbook of Artificial Intelligence for Music. Part 1.
Springer 2020
-
Clinical Applications of Magnetoencephalography
2016 ISBN:9784431557289
Lectures and oral presentations (18):
-
Cortical oscillations in multisensory speech perceptions: TMS and EEG study
(Japan Human Brain Mapping Society 2019)
-
Statistical Learning in the Developing Brain
(Japan Human Brain Mapping Society 2019)
-
Statistical information embedded in the stimulus sequence figures a neuromagnetic probe for human auditory function.
(Biozabnetic Sendai 2017 2017)
-
Right hemispheric dominance in concurrent statistical learning of attended and ignored auditory sequences
(Biomagnetic Sendai 2017 2017)
-
Relative difficulty of auditory statistical learning based on tone transition diversity modulates chunk length in the learning strategy
(Biomagnetic Sendai 2017 2017)
more...
Professional career (1):
- Ph.D in Medicine (The University of Tokyo)
Work history (8):
- 2024/04 - 現在 The University of Tokyo The Graduate School of Information Science and Technology Associate professor
- 2022/09 - 現在 Hiroshima University Associate professor (visiting)
- 2019/09 - 現在 University of Cambridge Centre for Neuroscience in Education Researcher
- 2023/04 - 2024/03 Graduate School of Information Science and Technology, The University of Tokyo AI centre Project Assistant Porfessor
- 2020/04 - 2023/03 The University of Toyko International Research Center for Neurointelligence Project Assistant Professor
- 2016/12 - 2019/12 Max Planck Institute for Human Cognitive and Brain Sciences Scientific researcher
- 2016/04 - 2017/04 The University of Tokyo Graduate School of Medicine Visiting Researcher
- 2016/04 - 2016/11 University of Oxford Post-doc researcher
Show all
Awards (5):
- 2019/03 - Japan Human Brain Mapping Society Young Investigator Award Statistical Learning in the Developing Brain
- 2016/03 - JASSO (Japan Student Services Organization). Exemption of refund of scholarships because of outstanding research achievement(全額)
- 2015/08 - Japanese society of cognitive neuroscience Best poster award
- 2014/08 - Japanese society of cognitive neuroscience poster award
- 2013/08 - Japanese society of cognitive neuroscience award
Return to Previous Page