Division of Computational Science


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.


Junichiro Yoshimoto

Junichiro Yoshimoto Professor (Department 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.

Takashi Nakano

Takashi Nakano Associate Professor (Department 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.

Katsuyuki Kunida

Katsuyuki Kunida Senior Assistant Professor (Department of Computational Biology)

I hope to improve our understanding of the pathogenesis of psychiatric and neurological disorders through systems and data science.

Takayuki Kannon

Takayuki Kannon Senior Assistant Professor (Department 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

  1. 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. (2021). KANPHOS: A Database of Kinase-Associated Neural Protein Phosphorylation in the Brain. Cells, 11(1), 47. https://doi.org/10.3390/cells11010047

  2. Regonia, P. R., Takamura, M., Nakano, T., Ichikawa, N., Fermin, A., Okada, G., Okamoto, Y., Yamawaki, S., Ikeda, K., & Yoshimoto, J. (2021). Modeling Heterogeneous Brain Dynamics of Depression and Melancholia Using Energy Landscape Analysis. Frontiers in Psychiatry, 12, 2113.
  3. Tokuda, T., Yamashita, O., Sakai, Y., & Yoshimoto, J. (2021). Clustering of Multiple Psychiatric Disorders Using Functional Connectivity in the Data-Driven Brain Subnetwork. Frontiers in Psychiatry, 12(August), 116.
  4. 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. DOI:10.1016/j.neuroimage.2021.118733
  5. Kannon, T., Inagaki, K., Kamiji, N.L., Makimura, K., Usui, S: PLATO: data-oriented approach to collaborative large-scale brain system modeling. Neural Netw. Off. J. Int. Neural Netw. Soc. 24, 918–926, 2011. https://doi.org/10.1016/j.neunet.2011.06.011
  6. Nakano T, Doi T, Yoshimoto J, Doya K: A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity., PLoS Computational Biology, 6(2): e1000670, 2010. DOI: 10.1371/journal.pcbi.1000670


Department of Biomedical Data Science(Biomedical Data Science, School of medicine)

#707, 1st building, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan
E-mail:junichiro.yoshimoto(at)fujita-hu.ac.jp / Tel:+81-562-93-9980
※ Please replace “(at)” with “@”.

Division of Computational Science(Computational Biology, School of Medicine)

#707, 1st building, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan
E-mail:takashi.nakano(at)fujita-hu.ac.jp / Tel:+81-562-93-2647
※ Please replace “(at)” with “@”.