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J-GLOBAL ID：201201093381859225   Update date: Nov. 22, 2024

shimono masanori

シモノ マサノリ | shimono masanori
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Homepage URL  (1)： http://shimono-u.net/
Research field  (1)： Neuroscience - general
Research keywords  (12)： Complex Networks ,  Graph theory ,  Neuroinformatics ,  Multi-Neuron Recording ,  Neuroscience ,  Perception ,  Consciousness ,  Multi-Scale ,  Dynamics ,  Networks ,  Connectome ,  Brain
Papers (20)：
  • Ryota Nakajima, Arata Shirakami, Hayato Tsumura, Kouki Matsuda, Eita Nakamura, Masanori Shimono. Mutual generation in neuronal activity across the brain via deep neural approach, and its network interpretation. Communications biology. 2023. 6. 1. 1105-1105
  • Kouki Matsuda, Arata Shirakami, Ryota Nakajima, Tatsuya Akutsu, Masanori Shimono. Whole-Brain Evaluation of Cortical Microconnectomes. eNeuro. 2023. 10. 10
  • M. Kajiwara, R. Nomura, F. Goetze, Y. Isomura, M. Kawabata, T. Akutsu, M. Shimono. Inhibitory neurons exhibit high controlling ability in the Cortical Microconnectome. PLOS Computational Biology. 2021. 17. 4. e1008846
  • S. Ide, M. Kajiwara, H. Imai, M. Shimono. 3D Scanning Technology Bridging Microcircuits And Macroscale Brain Images In 3D Novel Embedding Overlapping (3D-NEO) Protocol. J. Vis. Exp. 2019. 147. 147. e58911,
  • Masanori Shimono, Naomichi Hatano. Efficient communication dynamics on macro-connectome, and the propagation speed. Scientific Reports. 2018. 8. 1. 2510
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MISC (8)：
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Books (1)：
  • Network of the Brain
    2020 ISBN:9784622088844
Lectures and oral presentations  (43)：
  • Prediction of clinical symptoms based on global cortical thinning patterns in Parkinson's disease.
    (organization for computational neuroscience 2021 2021)
  • Deep neural embedding of neuronal connectivity.
    (organization for computational neuroscience 2021 2021)
  • 神経接続データのニューラルネットワーク埋め込み
    (日本生体医工学会 2021)
  • Prediction of clinical symptoms based on global cortical thinning patterns i n Parkinson's disease
    (Japanese Society for Medical and Biological Engineering 2021)
  • Inhibitory neurons locate at a center of effective cortical networks, and have high ability to control other neurons.
    (organization for computational neuroscience 2020 2020)
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Professional career (1)：
  • PhD (The University of Tokyo)
Work history (7)：
  • 2017 - 2023 MEXT LEADER program researcher
  • 2017 - 2023 Hakubi researcher
  • 2015 - 2015 Massachusett General Hospital
  • 2013 - 2015 JSPS Fellowship Researcher Abroad
  • 2010 - 2015 Indiana University Department of Physics / Cognitive Science Program
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Committee career (8)：
  • 2020/09 - 現在 Organization for Computational Neuroscience Program committee
  • 2017 - 現在 Frontiers In Computational Neuroscience Review Editor
  • 2017 - 現在 Frontiers In Computational Neuroscience Review Editor
  • 2017 - 現在 Science Advisory Board Member
  • 2017 - 現在 科学諮問委員会 会員
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Awards (9)：
  • 2014 - Organization for Computational Neuroscience, Featured presentation
  • 2014 - Organization for Computational Neurosciences, Brain Corporation Award
  • 2013 - Marry Ann Liebert Inc., Author Appreciation Award
  • 2010 - Japan Human Brain Mapping Society The Best Paper Award
  • 2010 - Annual Meeting of Japan Biomagnetism Society Young Investigator Award
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Association Membership(s) (3)：
Organization for Computational Neurosciences ,  Society for Neuroscience ,  THE JAPAN NEUROSCIENCE SOCIETY
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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