Division of Computational Science
Projects
We aim to clarify the mechanisms behind mental and neurological disorders and brain functions through mathematical modeling. We conduct research that applies data science methods to a wide variety of neurological data in collaboration with other divisions of the ICBS, which we expect to lead to the integrated understanding of mental and neurological disorders and brain functions.
Members
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Junichiro Yoshimoto Professor (Division of Biomedical Data Science)
I received my Ph.D. in engineering from the Graduate School of Information Science, Nara Institute of Science and Technology in 2002, and have been working on information science, focusing on Bayesian machine learning and its application to biomedical data analysis. I am developing databases containing molecular/neural substrates associated with emotion and neuropsychiatry, and computational methods for data analysis to promote data-driven studies for understanding the mechanisms of neuropsychiatric disorders.
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Takashi Nakano Associate Professor (Division of Computational Biology)
I have been working on how the brain works from both theoretical and experimental perspectives. I am particularly interested in learning, emotion, and mental disorders, and am working on elucidating these neural mechanisms using models and data science methods.
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Hidetoshi Urakubo Associate Professor (Division of Biomedical Data Science)
I am working on computer simulation to describe the molecular and cellular dynamics in neurons of the brain. Computer simulation often reveals that our brain works on a delicate balance, and violation of the balance corresponds to a psychiatric disorder. I want to further clarify what kind of treatment would restore such a imbalance for our welfare.
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Katsuyuki Kunida Associate Professor (Division of Computational Biology)
I hope to improve our understanding of the pathogenesis of psychiatric and neurological disorders through systems and data science.
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Masahiro Takamura Associate Professor (Institutional Research Center)
I have been engaged in research on the application of brain imaging data analysis to the diagnosis and treatment of psychiatric and neurological disorders. Through innovative approaches, I strive to develop solutions that support clinical practice and advance our understanding of complex brain functions.
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Takayuki Kannon Senior Assistant Professor (Division of Biomedical Data Science)
I have been studying technologies related to neuroinformatics tools such as mathematical model simulators for the brain. I am also developing a database of life science and medical information.
Main publications
- Kannon T, Murashige S, Nishioka T, Amano M, Funahashi Y, Tsuboi D, Yamahashi Y, Nagai T, Kaibuchi K, Yoshimoto J, KANPHOS: Kinase-associated neural phospho-signaling database for data-driven research, Frontiers in Molecular Neuroscience. 17, 1379089, 2024.
- Kunida K, Takagi N, Aoki K, Ikeda K, Nakamura Y, Sakumura Y, Decoding cellular deformation from pseudo-simultaneously observed Rho GTPase activities, Cell Reports, 42, 2, 112071, 2023.
- Ahammad R U, Nishioka T, Yoshimoto J, Kannon T, Amano M, Funahashi Y, Tsuboi D, Faruk M O, Yamahashi Y, Yamada K, Nagai T, & Kaibuchi K, KANPHOS: A Database of Kinase-Associated Neural Protein Phosphorylation in the Brain, Cells, 11(1), 47, 2, 2021.
- Tokuda T, Yamashita O, Sakai Y, & Yoshimoto J, Clustering of Multiple Psychiatric Disorders Using Functional Connectivity in the Data-Driven Brain Subnetwork, Frontiers in Psychiatry, 12, 1-16, 2021.
- Nakano T, Takamura M, Nishimura H, Machizawa M, Ichikawa N, Yoshino A, Okada G, Okamoto Y, Yamawaki S, Yamada M, Suhara T, Yoshimoto J, Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training, Neuroimage, 245: 118733, 2021.
- Urakubo H, Yagishita S, Kasai H, Ishii S, Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity, PLOS Computational Biology, 16 (7), e1008078, 2020.
Information
Division of Biomedical Data Science(Biomedical Data Science and Computational Biology, School of Medicine)
Biomedical Data Science, School of Medicine
Computational Biology, School of Medicine
【Address】
#707, 1st building, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan
【Contact】
E-mail:junichiro.yoshimoto(at)fujita-hu.ac.jp / Tel:+81-562-93-9980
E-mail:takashi.nakano(at)fujita-hu.ac.jp / Tel:+81-562-93-2647
※ Please replace “(at)” with “@”.