Tatsuya Daikoku Last updated: Sep 20, 2019 at 23:13
Research Interests
Music theory(21) ,
Machine learning(424) ,
Artificial intelligence(331) ,
Computational model(6) ,
Auditory(18) ,
language(84) ,
TMS(10) ,
EEG(92) ,
statistical learning(7) ,
music(149) ,
MEG(41) Academic & Professional Experience
Sep 2019
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Apr 2020
Posdoc Researcher, Centre for Neuroscience in Education, University of Cambridge
Dec 2016
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Dec 2019
Post-doc researcher, Max Planck Institute for Human Cognitive and Brain Sciences
Apr 2016
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Nov 2016
Post-doc researcher, University of Oxford
Apr 2016
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Apr 2017
Visiting Researcher, Graduate School of Medicine, The University of Tokyo
Oct 2013
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Mar 2016
Part-time Lecturer, Department of pharmacy, Nihon Pharmaceutical University
Apr 2013
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Mar 2016
Pat-time Lecturer, Tokyo College of Medico-pharmacotechnology
Apr 2012
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Mar 2016
Research assistant, Graduate school of Medicine, The University of Tokyo
Awards & Honors
Mar 2019
Statistical Learning in the Developing Brain, Young Investigator Award, Japan Human Brain Mapping Society
Aug 2014
poster award, Japanese society of cognitive neuroscience
Aug 2013
award, Japanese society of cognitive neuroscience
Aug 2015
Best poster award, Japanese society of cognitive neuroscience
Mar 2016
Exemption of refund of scholarships because of outstanding research achievement(全額), JASSO (Japan Student Services Organization).
Published Papers
Tatsuya Daikoku
Physics of Life Reviews 2019 [Refereed][Invited]
Tatsuya Daikoku
Clinical Neurophysiology 2019 [Refereed][Invited]
Tatsuya Daikoku
Frontiers in Computational Neuroscience Sep 2019 [Refereed]
Tatsuya Daikoku
Frontiers in Computational Neuroscience Apr 2019 [Refereed]
Vera Tsugli, Sebastian Jentschke, Tatsuya Daikoku, Stefan Koelsch
Scientific Reports 9(5563) Apr 2019 [Refereed]
Misc
Articulatory motor cortex contributes to predictive coding during speech perception: a combined TMS and EEG study.
Tatsuya Daikoku, Mottonen Riikka
Speech Motor Control Conference Jul 2017
Cortical oscillations and predictive coding during auditory and audiovidual speech perceptions: a combined TMS and EEG study
Tatsuya Daikoku, Panouilleres M, Mottonen R
Biomagnetic 2017 May 2017
Masato Yumoto, Tatsuya Daikoku
Clinical Applications of Magnetoencephalography 97-112 Jan 2016
© Springer Japan 2016.Magnetoencephalography (MEG) has been used to explore basic auditory function in humans. In this chapter, major streams of clinical MEG studies based on auditory basic function were briefly reviewed according to the stimulati...
大黒達也, 矢冨裕, 湯本真人
日本ヒト脳機能マッピング学会プログラム・抄録集 18th 68 2016
OGURO TATSUYA, YUMOTO MASATO
日本柔道整復接骨医学会学術大会プログラム・抄録集 24th 129-129 Oct 2015
Books etc
Clinical Applications of Magnetoencephalography
Masato Yumoto, Tatsuya Daikoku (Part:Joint Work)
Mar 2016 ISBN:978-4431557289
Conference Activities & Talks
Cortical oscillations in multisensory speech perceptions: TMS and EEG study
Tatsuya Daikoku
Japan Human Brain Mapping Society 15 Mar 2019
Statistical Learning in the Developing Brain
Tatsuya Daikoku
Japan Human Brain Mapping Society 15 Mar 2019
Statistical information embedded in the stimulus sequence figures a neuromagnetic probe for human auditory function.
Yumoto Masato, Tatsuya Daikoku, Tomoko Okano, Yutaka Yatomi
Biozabnetic Sendai 2017 May 2017
Right hemispheric dominance in concurrent statistical learning of attended and ignored auditory sequences
Tatsuya Daikoku, Masato Yumoto
Biomagnetic Sendai 2017 May 2017
Relative difficulty of auditory statistical learning based on tone transition diversity modulates chunk length in the learning strategy
Tatsuya Daikoku,Okano T, Yumoto M
Biomagnetic Sendai 2017 May 2017
Research Grants & Projects
Neuroscientific and computational system that enhances motivation for learning
Kitano Foundation of Lifelong Integrated Education:
Project Year: Apr 2019 - Mar 2021 Investigator(s): Tatsuya Daikoku
Where does the creativity come from?: The interplay between intelligence and creativity
Suntory Foundation:
Project Year: Aug 2019 - Jul 2020 Investigator(s): Tatsuya Daikoku
Development of evaluation methods in Language function using integrative model of neuroscience and computation: Towards understanding developmental dyslexia.
Nakatani Foundation:
Project Year: Oct 2019 - Mar 2020 Investigator(s): Tatsuya Daikoku
Understanding of history in western-classical music based on human’s implicit learning: evolutionary process of musicality in brain
Suntory Foundation:
Project Year: Apr 2018 - Mar 2019 Investigator(s): Tatsuya Daikoku
Music characteristics retrieval based on human’s implicit leartning
Kakehashi Foundation:
Project Year: Apr 2018 - Mar 2019 Investigator(s): Tatsuya Daikoku
Patents
特願2017-242127(PAT.P) : 音楽情報の特徴解析方法及びその装置
Tatsuya Daikoku
Others
2019 Sound Analysis Toolbox under Matlab
2018 Musical Creativity Analysis under python
