MAKOTO FUKUSHIMA

Last Updated :2025/07/05

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Associate Professor
Web Site
https://sites.google.com/site/mfukushimaweb
E-mail
mfukushimahiroshima-u.ac.jp
Self-introduction
I work on interdisciplinary research in neuroscience, network science, and artificial intelligence. My research topics include fusion of empirical brain networks and artificial neural networks, modeling information propagation in structural brain networks, and network analysis of time-resolved functional brain connectivity.

Basic Information

Major Professional Backgrounds

  • 2023/04/01, Hiroshima University, School of Informatics and Data Science / Graduate School of Advanced Science and Engineering, Associate Professor
  • 2019/09/01, 2023/03/31, Nara Institute of Science and Technology, Division of Information Science, Graduate School of Science and Technology, Assistant Professor
  • 2018/04/01, 2019/08/31, National Institute of Information and Communications Technology, Neural Information Engineering Laboratory, Center for Information and Neural Networks, JSPS Research Fellow
  • 2015/04/01, 2018/03/31, Indiana University, Computational Cognitive Neuroscience Laboratory, Department of Psychological and Brain Sciences, Postdoctoral Fellow
  • 2014/04/01, 2015/03/31, Advanced Telecommunications Research Institute International, Department of Computational Brain Imaging, Neural Information Analysis Laboratories, Researcher
  • 2009/06/01, 2014/03/31, Advanced Telecommunications Research Institute International, Department of Computational Brain Imaging, Neural Information Analysis Laboratories (split from Computational Neuroscience Laboratories in April 2010), Student Intern

Educational Backgrounds

  • Nara Institute of Science and Technology, Graduate School of Information Science, Japan, 2009/04, 2014/03
  • Osaka University, School of Engineering Science, Department of Systems Science, Japan, 2005/04, 2009/03

Academic Degrees

  • Master of Engineering, Nara Institute of Science and Technology
  • Doctor of Engineering, Nara Institute of Science and Technology

Educational Activity

  • [Bachelor Degree Program] School of Informatics and Data Science : Department of Informatics and Data Science : Intelligence Science Program
  • [Master's Program] Graduate School of Innovation and Practice for Smart Society
  • [Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program
  • [Doctoral Program] Graduate School of Innovation and Practice for Smart Society
  • [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program

In Charge of Primary Major Programs

  • Informatics and Data Science Program

Research Fields

  • Complex systems;Brain sciences;Brain biometrics
  • Informatics;Human informatics;Soft computing

Research Keywords

  • Brain Networks Analysis
  • Computational Neuroscience

Affiliated Academic Societies

Educational Activity

Course in Charge

  1. 2025, Liberal Arts Education Program1, Second Semester, Starting Programming from Scratch
  2. 2025, Undergraduate Education, 1Term, Frontier of Informatics and Data Science
  3. 2025, Undergraduate Education, Intensive, Research Project
  4. 2025, Undergraduate Education, 3Term, Machine Learning
  5. 2025, Undergraduate Education, 1Term, Neural Networks
  6. 2025, Undergraduate Education, 1Term, Intelligence Science Seminar I
  7. 2025, Undergraduate Education, 2Term, Intelligence Science Seminar II
  8. 2025, Undergraduate Education, Second Semester, Graduation Thesis
  9. 2025, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
  10. 2025, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
  11. 2025, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
  12. 2025, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
  13. 2025, Graduate Education (Master's Program) , Year, Special Study on Informatics and Data Science
  14. 2025, Graduate Education (Master's Program) , 2Term, Advanced Computational Neuroscience

Research Activities

Academic Papers

  1. Comparison of message-switched and packet-switched communication simulated on the human connectome, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 20241217
    Link to Paper Search Results by DOI
  2. Empirical validation of propagation strategies as a model of interareal communication dynamics in the connectome, Annual conference of Japanese Neural Network Society, 20240913
  3. Comparing connectivity-to-reservoir conversion methods for connectome-based reservoir computing, International Joint Conference on Neural Networks (IJCNN), 20240909
    Link to Paper Search Results by DOI
  4. The impact of conversion from structural brain connectivity to reservoir weights on the learning performance of connectome-based reservoir computing, Proceedings of the Annual Conference of JSAI, 20240530
    Link to Paper Search Results by DOI
  5. ★, Effects of packetization on communication dynamics in brain networks, Network Neuroscience, 8(2), 418-436, 20240701
    Link to Paper Search Results by DOI
  6. Relating switching architectures to propagation strategies in network communication models for the connectome, Annual conference of Japanese Neural Network Society, 20230905
  7. Modular origins of high-amplitude cofluctuations in fine-scale functional connectivity dynamics, Proceedings of the National Academy of Sciences of the United States of America, 118(46), e2109380118, 2021
    Link to Paper Search Results by DOI
  8. Signal propagation models for packet-based communication in structural brain networks, Annual conference of Japanese Neural Network Society, 2021
  9. Functional connectivity, Brain Science Dictionary, 2021
    Link to Paper Search Results by DOI
  10. ★, Structural determinants of dynamic fluctuations between segregation and integration on the human connectome, Communications Biology, 3, 606, 2020
    Link to Paper Search Results by DOI
  11. Temporal stability of functional brain modules associated with human intelligence, Human Brain Mapping, 41(2), 362-372, 2020
    Link to Paper Search Results by DOI
  12. Comparison of network-level fluctuations in modeled and empirical human brain functional connectivity, Annual conference of Japanese Neural Network Society, 2018
  13. ★, Comparison of fluctuations in global network topology of modeled and empirical brain functional connectivity, PLOS Computational Biology, 14(9), e1006497, 2018
    Link to Paper Search Results by DOI
  14. ★, Structure–function relationships during segregated and integrated network states of human brain functional connectivity, Brain Structure and Function, 223(3), 1091-1106, 2018
    Link to Paper Search Results by DOI
  15. ★, Fluctuations between high- and low-modularity topology in time-resolved functional connectivity, NeuroImage, 180, 406-416, 2018
    Link to Paper Search Results by DOI
  16. Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks, NeuroImage, 127, 287-297, 2016
    Link to Paper Search Results by DOI
  17. ★, MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks, NeuroImage, 105, 408-427, 2015
    Link to Paper Search Results by DOI
  18. MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model, IEEE International Symposium on Biomedical Imaging (ISBI), 1002-1005, 2013
    Link to Paper Search Results by DOI
  19. ★, A state-space modeling approach for localization of focal current sources from MEG, IEEE Transactions on Biomedical Engineering, 59(6), 1561-1571, 2012
    Link to Paper Search Results by DOI

Publications such as books

  1. Advanced State Space Methods for Neural and Clinical Data, Chapter 3: State space methods for MEG source reconstruction, Cambridge University Press, 2015, Scholarly Book, Joint work, Makoto Fukushima, Okito Yamashita, Masa-aki Sato, 9781139941433, 53-78

Invited Lecture, Oral Presentation, Poster Presentation

  1. Neural basis of hypothesis formulation and testing, Chika Nishimura, Yuki Hashizume, Kohei Morimoto, Makoto Fukushima, Haruto Ueno, Seiya Mizuno, Ken Kobayashi, Dai Watanabe, Joint Meeting of the 130th General Meeting of the Japanese Association of Anatomists, the 102nd General Meeting of the Physiological Society of Japan, and the 98th Annual Meeting of the Japanese Pharmacological Society, 2025/03/17, Without Invitation, Japanese, Japanese Association of Anatomists, Physiological Society of Japan, Japanese Pharmacological Society, Chiba
  2. Relating simulated interareal communication in the connectome to empirical functional connectivity, Makoto Fukushima, Kenji Leibnitz, 27th Annual Meeting of Japan Human Brain Mapping Society, 2025/03/07, Without Invitation, Japanese, Japan Human Brain Mapping Society, Tokyo
  3. Applying connectome-based reservoir computing to a duration discrimination task, Atsuko Takahashi, Makoto Fukushima, 27th Annual Meeting of Japan Human Brain Mapping Society, 2025/03/07, Without Invitation, Japanese, Japan Human Brain Mapping Society, Tokyo
  4. Reservoir computing using a coupled oscillator system on the connectome, Tenshin Okuma, Makoto Fukushima, 27th Annual Meeting of Japan Human Brain Mapping Society, 2025/03/07, Without Invitation, Japanese, Japan Human Brain Mapping Society, Tokyo
  5. Applying network analysis methods to brain connectivity data, Makoto Fukushima, Graduate Education Course: Neuroscience, Graduate School of Medicine, Kyoto University, 2024/12/23, With Invitation, English, Kyoto University, Kyoto (Japan)
  6. Challenges in revealing neural basis of formulating and testing a hypothesis via longitudinal imaging of neural activity, Chika Nishimura, Yuki Hashizume, Haruto Ueno, Kohei Morimoto, Makoto Fukushima, Seiya Mizuno, Hiroki Yagi, Satoshi Yawata, Ken Kobayashi, Dai Watanabe, 47th Annual Meeting of the Molecular Biology Society of Japan, 2024/11/27, Without Invitation, Japanese, Molecular Biology Society of Japan, Fukuoka
  7. Evaluating interareal communication models on the connectome, Makoto Fukushima, IEICE Technical Meeting on Communication Behavior Engineering (CBE), 2024/11/22, With Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Seika, Soraku
  8. Effects of packetization on signal propagation simulated on the human connectome, Makoto Fukushima, Kenji Leibnitz, Joint Meeting of the 47th Annual Meeting of the Japan Neuroscience Society, the 67th Annual Meeting of the Japanese Society for Neurochemistry, and the 46th Annual Meeting of the Japanese society of Biological Psychiatry, 2024/07/26, Without Invitation, Japanese, Japan Neuroscience Society, Japanese Society for Neurochemistry, Japanese society of Biological Psychiatry, Fukuoka
  9. Neural basis of decision making in naturally complex environment, Chika Nishimura, Kohei Morimoto, Makoto Fukushima, Yuki Hashizume, Haruto Ueno, Dai Watanabe, Joint Meeting of the 47th Annual Meeting of the Japan Neuroscience Society, the 67th Annual Meeting of the Japanese Society for Neurochemistry, and the 46th Annual Meeting of the Japanese society of Biological Psychiatry, 2024/07/26, Without Invitation, Japanese, Japan Neuroscience Society, Japanese Society for Neurochemistry, Japanese society of Biological Psychiatry, Fukuoka
  10. Exploring structural determinants of dynamic fluctuations between segregated and integrated functional connectivity patterns, Makoto Fukushima, NIPS International Workshop 2024—Exploring and understanding large-scale brain dynamics by data-driven approaches, 2024/07/23, With Invitation, English, National Institute for Physiological Sciences, Okazaki (Japan)
  11. Toward an assessment of the validity of brain network communication models, Makoto Fukushima, CiNet Friday Lunch Seminar, 2024/06/07, With Invitation, English, National Institute of Information and Communications Technology, Virtual event
  12. Evaluating the repeatability and validity of community detection in functional brain networks, Makoto Fukushima, Ryusuke Nakamura, Kazushi Ikeda, 30th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2024), 2024/06/27, Without Invitation, English, Organization for Human Brain Mapping, Seoul (South Korea)
  13. Application of connectome-based reservoir computing to handwritten digit recognition, Takumi Satani, Makoto Fukushima, IEICE General Conference, 2024/03/07, Without Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Higashihiroshima
  14. Reservoir computing with the Kuramoto model of coupled oscillators, Miku Fujiki, Makoto Fukushima, IEICE General Conference, 2024/03/07, Without Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Higashihiroshima
  15. The impact of converting structural brain connections to reservoir weights on the performance of connectome-based reservoir computing, Ryo Nishimura, Makoto Fukushima, IEICE General Conference, 2024/03/07, Without Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Higashihiroshima
  16. Evaluating the reproducibility and validity of community detection in functional brain networks, Makoto Fukushima, Ryusuke Nakamura, Kazushi Ikeda, 26th Congress of Japan Human Brain Mapping Society, 2024/02/23, Without Invitation, Japanese, Japan Human Brain Mapping Society, Utsunomiya
  17. Analysis of global state fluctuations in functional brain networks, Makoto Fukushima, Joint Meeting of IEICE Technical Meeting on Communication Quality (CQ) and Technical Meeting on Communication Behavior Engineering (CBE), 2024/01/25, With Invitation, Japanese, The Institute of Electronics, Information and Communication Engineers, Minamioguni, Aso
  18. Effects of signal packetization on whole-brain communication dynamics simulated in the connectome, Makoto Fukushima, Kenji Leibnitz, 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), 2023/11/15, Without Invitation, English, Society for Neuroscience, Washington D.C. (U.S.)
  19. Effects of packetization on cortical communication dynamics simulated in the connectome, Makoto Fukushima, Kenji Leibnitz, 7th Japanese Meeting for Human Brain Imaging, 2023/09/09, Without Invitation, Japanese, Japanese Meeting for Human Brain Imaging, Machida
  20. Evaluating the stability and validity of communities detected in human functional brain networks, Makoto Fukushima, Ryusuke Nakamura, Kazushi Ikeda, 6th Japanese Meeting for Human Brain Imaging, 2022/09, Without Invitation, Japanese, Machida
  21. Analysis of time-varying functional brain networks, Makoto Fukushima, Network Science Seminar 2022, 2022/08, With Invitation, Japanese, Kyoto
  22. Roles of hub regions in packet-based communication dynamics on structural brain networks, Makoto Fukushima, Kenji Leibnitz, Joint Meeting of the 45th Annual Meeting of the Japan Neuroscience Society, the 65th Annual Meeting of the Japanese Society for Neurochemistry, and the 32nd Annual Conference of the Japanese Neural Network Society, 2022/07, Without Invitation, Japanese, Ginowan
  23. Effects of the spatial resolution of parcellation on community detection in human functional brain networks, Ryusuke Nakamura, Makoto Fukushima, Kazushi Ikeda, 24th Congress of Japan Human Brain Mapping Society, 2022/02, Without Invitation, Japanese, Hamamatsu
  24. Computational studies for characterizing and understanding global state changes in functional brain networks and their generative mechanisms, Makoto Fukushima, 33rd Tokyo Symposium on Clinical Brain Image Analysis, 2021/11, With Invitation, Japanese, Virtual event
  25. Routing strategies for packet-based neural communication on the macroscale connectome, Makoto Fukushima, Kenji Leibnitz, 44th Annual Meeting of the Japan Neuroscience Society, 2021/07, Without Invitation, Japanese, Kobe
  26. Modular origins of high-amplitude co-fluctuations in fine-scale functional connectivity dynamics, Maria Pope, Makoto Fukushima, Richard F. Betzel, Olaf Sporns, Networks 2021 Satellite Conference: Network Neuroscience, 2021/07, Without Invitation, English, Virtual event
  27. Routing strategies for packet-based communication in brain networks, Makoto Fukushima, Kenji Leibnitz, Networks 2021 Satellite Conference: Network Neuroscience, 2021/07, Without Invitation, English, Virtual event
  28. Intrinsic brain network dynamics and general intelligence, Kirsten Hilger, Maren Wehrheim, Makoto Fukushima, Josh Faszkowitz, Olaf Sporns, Christian Fiebach, Matthias Kaschube, 46th Annual Meeting: Psychology and Brain, 2021/06, Without Invitation, English, Virtual event
  29. Network analysis of structural and functional connectivity in the human brain, Makoto Fukushima, 731st Human Brain Research Center Seminar (Graduate School of Medicine, Kyoto University), 2021/05, With Invitation, Japanese, Virtual event
  30. Network analysis of brain connectivity data, Makoto Fukushima, 4th Japanese Meeting for Human Brain Imaging, 2020/09, With Invitation, Japanese, Virtual event
  31. A routing model for neural communication on the macroscale connectome, Makoto Fukushima, Kenji Leibnitz, 43rd Annual Meeting of the Japan Neuroscience Society, 2020/07, Without Invitation, Japanese, Virtual event
  32. Exploring the brain's routing strategies by simulating packet-based communication on the connectome, Makoto Fukushima, Kenji Leibnitz, 26th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2020), 2020/06, Without Invitation, English, Virtual event
  33. Discrete-event simulation of packet-based communication on brain networks, Makoto Fukushima, Kenji Leibnitz, 64th Annual Conference of the Institute of Systems, Control and Information Engineers, 2020/05, Without Invitation, Japanese, Virtual event
  34. Simulating packet-based communication on brain structural networks, Makoto Fukushima, Kenji Leibnitz, NetSci-X 2020: International School and Conference on Network Science, 2020/01, Without Invitation, English, Tokyo (Japan)
  35. Structural determinants of network dynamics on the human connectome, Makoto Fukushima, Olaf Sporns, Joint meeting of the 42nd Annual Meeting of the Japan Neuroscience Society and the 62nd Annual Meeting of the Japanese Society for Neurochemistry, 2019/07, Without Invitation, Japanese, Niigata
  36. Intelligence is associated with intrinsic stability of functional brain modules, Kirsten Hilger, Makoto Fukushima, Christian Fiebach, Olaf Sporns, 20th Annual Conference of the International Society for Intelligence Research, 2019/07, Without Invitation, English, Minneapolis (U.S.)
  37. Intelligence is associated with intrinsic stability of functional brain modules, Kirsten Hilger, Makoto Fukushima, Ulrike Basten, Christian Fiebach, Olaf Sporns, 45th Annual Meeting: Psychology and Brain, 2019/06, Without Invitation, English, Dresden (Germany)
  38. Structural determinants of dynamic fluctuations in brain functional network topology, Makoto Fukushima, Olaf Sporns, 25th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2019), 2019/06, Without Invitation, English, Rome (Italy)
  39. Structural determinants of dynamic fluctuations between segregation and integration on the human connectome, Makoto Fukushima, Olaf Sporns, NetSci 2019 Satellite Conference: Network Neuroscience, 2019/05, Without Invitation, English, Burlington (U.S.)
  40. Estimation and analysis of human brain networks, Makoto Fukushima, Lab Seminar (National Institute for Physiological Sciences), 2019/01, With Invitation, Japanese, Okazaki
  41. Fluctuations in global network topology of modeled and empirical functional connectivity, Makoto Fukushima, Olaf Sporns, 2nd Japanese Meeting for Human Brain Imaging, 2018/09, Without Invitation, Japanese, Machida
  42. Fluctuations in global network topology of resting-state functional connectivity: comparison of modeled and empirical data, Makoto Fukushima, Olaf Sporns, 6th Biennial Conference on Resting State and Brain Connectivity, 2018/09, Without Invitation, English, Montreal (Canada)
  43. Fluctuations in global network topology of human brain functional connectivity: comparison of modeled and empirical data, Makoto Fukushima, Olaf Sporns, 41st Annual Meeting of the Japan Neuroscience Society, 2018/07, Without Invitation, Japanese, Kobe
  44. Structure-function relationships during segregated and integrated network states of human brain functional connectivity, Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns, 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2017), 2017/11, Without Invitation, English, Washington D.C. (U.S.)
  45. Signal transmission event analysis of human brain network dynamics, Okito Yamashita, Makoto Fukushima, Masa-aki Sato, 40th Annual Meeting of the Japan Neuroscience Society, 2017/07, Without Invitation, Japanese, Chiba
  46. Structure-function relationships in segregated and integrated states of time-resolved brain networks, Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns, NetSci 2017: International School and Conference on Network Science, 2017/06, Without Invitation, English, Indianapolis (U.S.)
  47. Estimating signal flow chains from a network dynamics model of the human brain, Yusuke Takeda, Nobuo Hiroe, Makoto Fukushima, Masa-aki Sato, Okito Yamashita, 23rd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2017), 2017/06, Without Invitation, English, Vancouver (Canada)
  48. Individual variability and connectivity dynamics in modular organization of human cortical functional networks, Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns, 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016/11, Without Invitation, English, San Diego (U.S.)
  49. Identifying information flows for visual motion perception from a network dynamics model of the human brain, Yusuke Takeda, Nobuo Hiroe, Makoto Fukushima, Masa-aki Sato, Okito Yamashita, 20th International Conference on Biomagnetism (BIOMAG 2016), 2016/10, Without Invitation, English, Seoul (South Korea)
  50. Identifying important information flows from a network dynamics model of the human brain, Yusuke Takeda, Nobuo Hiroe, Makoto Fukushima, Masa-aki Sato, Okito Yamashita, 39th Annual Meeting of the Japan Neuroscience Society, 2016/07, Without Invitation, Japanese, Yokohama
  51. Spatial patterns and flow dynamics in functional connectivity states across the human lifespan, Makoto Fukushima, Richard F. Betzel, Ye He, Xi-Nian Zuo, Olaf Sporns, 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), 2016/06, Without Invitation, English, Geneva (Switzerland)
  52. Structurally-constrained functional brain networks as revealed by the combinatorial use of non-invasive neuroimaging modalities, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 37th Annual Meeting of the Japan Neuroscience Society, 2014/09, Without Invitation, Japanese, Yokohama
  53. MEG source reconstruction with identifying directed source interactions on structural brain networks, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 19th International Conference on Biomagnetism (BIOMAG 2014), 2014/08, Without Invitation, English, Halifax (Canada)
  54. Estimation of structurally-constrained functional brain networks at a macroscopic scale, Makoto Fukushima, Complex Networks Summer School 2014, 2014/08, Without Invitation, Japanese, Sendai
  55. Reconstructing neuronal current sources based on identifying directed source interactions on structural brain networks, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 29th Annual Meeting of Japan Biomagnetism and Bioelectromagnetics Society, 2014/05, Without Invitation, Japanese, Suita
  56. MEG source reconstruction spatiotemporally constrained by prior knowledge of anatomical connectivity, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, Joint Meeting of the 36th Annual Meeting of the Japan Neuroscience Society, the 56th Annual Meeting of the Japanese Society for Neurochemistry, and the 23rd Annual Conference of the Japanese Neural Network Society, 2013/06, Without Invitation, Japanese, Kyoto
  57. Diffusion MRI informed dynamic MEG source reconstruction with application to face recognition data, Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato, 19th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2013), 2013/06, Without Invitation, English, Seattle (U.S.)
  58. A state-space modeling approach for reconstructing the spatially focal and temporally smooth current sources using the spatially inhomogeneous dynamical model, Okito Yamashita, Makoto Fukushima, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 18th International Conference on Biomagnetism (BIOMAG 2012), 2012/08, Without Invitation, English, Paris (France)
  59. Localizing focal current sources from MEG data based on state-space approach, Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 34th Annual Meeting of the Japan Neuroscience Society, 2011/09, Without Invitation, Japanese, Yokohama
  60. Localizing focal sources from MEG by efficient inference in a high dimensional state-space model, Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2011), 2011/06, Without Invitation, English, Quebec City (Canada)
  61. Magnetoencephalography (MEG) source localization method with temporal smoothness constraint based on high-dimensional state space model, Makoto Fukushima, Okito Yamashita, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, Joint Meeting of the 33rd Annual Meeting of the Japan Neuroscience Society, the 53rd Annual Meeting of the Japanese Society for Neurochemistry, and the 20th Annual Conference of the Japanese Neural Network Society, 2010/09, Without Invitation, Japanese, Kobe
  62. Spatio-temporal priors for the MEG inverse problem: a state space approach, Makoto Fukushima, Okito Yamashita, Shin Ishii, Mitsuo Kawato, Masa-aki Sato, 5th International Summer School in Biomedical Engineering—Multimodal Integration of Functional Brain Measurements, 2010/08, Without Invitation, English, Wittenberg (Germany)
  63. A real-time balancing task of an inverted pendulum using ankle muscle EMG during human upright stance, Shota Tateyama, Yoshiyuki Asai, Makoto Fukushima, Taishin Nomura, 54th Annual Conference of the Institute of Systems, Control and Information Engineers, 2010/05, Without Invitation, Japanese, Kyoto

External Funds

Acceptance Results of Competitive Funds

  1. Research Incentive Grant, An analysis of the function of the brain connectome using machine learning tasks, 2024/03/01, 2025/03/31
  2. Grant-in-Aid for Early-Career Scientists, Identification of spatiotemporal brain activity patterns triggering global state changes in functional brain networks, 2021/04/01, 2024/03/31
  3. Grant-in-Aid for Scientific Research on Innovative Areas, Simulation analysis and interspecies comparison of neural communication over macroscopic structural brain connections, 2020/04, 2022/03
  4. Collaborative Technical Development in Data-Driven Brain Science, Network analysis of multiscale structural and functional connectome data, 2020/04, 2021/03
  5. Education and Research Activities Grant, Integrative analysis of the spatiotemporal dynamics of brain activity and functional connectivity, 2020/04, 2021/03
  6. 30th Anniversary Research Grant, 2020/04, 2021/03
  7. Grant-in-Aid for Early-Career Scientists, Understanding generative mechanisms of switching between segregated and integrated states of brain functional networks, 2019/04, 2021/03
  8. Grant-in-Aid for JSPS Fellows, Analysis and application of the function of brain structural networks in the context of information networking, 2018/04, 2020/03
  9. Grant-in-Aid for JSPS Fellows, A study on improving the accuracy of MEG source reconstruction by model identification of brain activity dynamics, 2011/04, 2013/03

Social Activities

Other Social Contributions

  1. Center for Developing Pioneers in Science, School of Science, Hiroshima University, Explanatory Lectures on the 2024 Nobel Prizes, An explanatory lecture on the 2024 Nobel Prize in Physics: the history of machine learning with artificial neural networks, 2024/12/07, 2024/12/07, Higashisenda Campus, Hiroshima university, Lecturer, Lecture, General
  2. School of Informatics and Data Science, Hiroshima University, University Visit by Hiroshima Kokutaiji High School, A mock lesson: an introduction to machine learning, 2024/07/09, 2024/07/09, Higashihiroshima Campus, Hiroshima University, Lecturer, Visiting lecture, High school students

History as Peer Reviews of Academic Papers

  1. 2024, Nature Communications, Others, Ad Hoc Reviewer, 1
  2. 2024, Aperture Neuro, Others, Ad Hoc Reviewer, 1
  3. 2023, Network Neuroscience, Others, Ad Hoc Reviewer, 1
  4. 2022, PLOS ONE, Others, Ad Hoc Reviewer, 1
  5. 2022, NeuroImage, Others, Ad Hoc Reviewer, 1
  6. 2022, Network Neuroscience, Others, Ad Hoc Reviewer, 1
  7. 2022, Human Brain Mapping, Others, Ad Hoc Reviewer, 1
  8. 2022, Communications Physics, Others, Ad Hoc Reviewer, 1
  9. 2021, Communications Physics, Others, Ad Hoc Reviewer, 1
  10. 2020, Brain Structure and Function, Others, Ad Hoc Reviewer, 1
  11. 2019, NeuroImage, Others, Ad Hoc Reviewer, 2
  12. 2019, Network Neuroscience, Others, Ad Hoc Reviewer, 1
  13. 2018, Physics Letters A, Others, Ad Hoc Reviewer, 1
  14. 2018, Neural Networks, Others, Ad Hoc Reviewer, 1
  15. 2018, Journal of Neuroscience Methods, Others, Ad Hoc Reviewer, 1
  16. 2018, Brain Structure and Function, Others, Ad Hoc Reviewer, 2
  17. 2017, NeuroImage, Others, Ad Hoc Reviewer, 1
  18. 2017, European Archives of Psychiatry and Clinical Neuroscience, Others, Ad Hoc Reviewer, 1
  19. 2016, NeuroImage, Others, Ad Hoc Reviewer, 1
  20. 2015, IEEE Journal of Selected Topics in Signal Processing, Others, Ad Hoc Reviewer, 1
  21. 2013, Neural Networks, Others, Ad Hoc Reviewer, 1