Faculty - TSUKADA Hiromichi |

（Last updated : 2025-06-04 14:58:37）

TSUKADA Hiromichi

Department / Course

ＡＩ数理データサイエンスセンター

創発学術院

理工学部数理・物理サイエンス学科

Job Associate Professor

Business career
2021/04 ～	Chubu University Center for Mathematical Science and Artificial Intelligence (CMSAI)
2020/09 ～ 2021/03	Chubu University College of Engineering
2015/07 ～ 2020/08	Okinawa Institute of Science and Technology Graduate University Neural Computation Unit
2013/10 ～ 2015/06	Research Center for Integrative Mathematics, Hokkaido University
2007/04 ～ 2013/06	Department of Mathematics, Graduate School of Science, Hokkaido University
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Present specialized field
Computational Neuroscience, Soft computing, Intelligent informatics keyword(Learning and Memory Model,Context-Dependent Memory,Excitatory - Inhibitory balance,Information processing of memory system,Cross-Frequency Coupling,Mobile communication,Spatio-Temporal Learning Rule,Chaotic Itinerancy,Hippocampus Memory Network,Neural Network,Data driven whole brain model,Data Assimilation)

Book and thesis
Papers	Transition in “Digital Brain” Researches, and Surrogate-based Generative Model The Brain & Neural Networks,pp.12-21 (Co-authored) 2025/03
Papers	Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study NeuroImage 279,pp.120329-120329 (Co-authored) 2023/10
Papers	Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study NeuroImage 279,pp.120329-120329 (Co-authored) 2023/10
Papers	The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain PLOS Biology 21 (6),pp.e3002158-e3002158 (Co-authored) 2023/06/29
Papers	The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain PLOS Biology 21 (6),pp.e3002158-e3002158 (Co-authored) 2023/06/29
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Academic conference presentation
	Analysis of Structure-Function Relationship using a Whole-Brain Model based on the Common Marmoset MRI Data (The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018))
2020/07/29	A computational analysis of structure-function relationship in the whole-brain network based on diffusion and functional MRI data of marmosets (The 43rd Annual Meeting of the Japan Neuroscience Society)
2019/10/02	Fractal Structure in Hokusai's "Great Wave" and the Memory Neural Network -Brain, Art and AI- (The 7th International Conference on Cognitive Neurodynamics (ICCN2019), Alghero, Italy, Sep 29 - Oct 2, 2019.)
2019/09/30	Context-Dependent Learning and Memory based on Spatio-Temporal Learning Rule (The 7th International Conference on Cognitive Neurodynamics (ICCN2019))
2019/07/16	A three-module scenario in an interpretation of visual hallucination in dementia with Lewy bodies and preliminary results of computer experiments (International Joint Conference on Neural Networks 2019 (IJCNN2019))
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Research topic, funded research, and department laboratory expense
2020/04/01 ～ 2024/03/31	Theoretical and Empirical Study for Modulation and Integration Function of Context Information in Memory Networks Grant-in-Aid for Scientific Research (B)
2017/04/01 ～ 2020/03/31	Identification of information processing of spatio-temporal context in learning and memory Grant-in-Aid for Scientific Research (C)

Winning science prize
2011/06	The 3th International Conference on Cognitive Neurodynamics (ICCN 2011) Best Poster Award

Committee and society
2022/04 ～	Cognitive Neurodynamics Editorial board member