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J-GLOBAL ID：201201093381859225
Update date: Nov. 22, 2024 shimono masanori
シモノ マサノリ | shimono masanori
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
- Olaf Sporns (author, Masanori Shimono. Network of the brain (japanese). Misuzu publisher. 2020. 1-360
- 下野昌宣. 実験と理論とシミュレーション (シリーズ白眉対談). 白眉ニュースレター. 2018. 14. 3-8
- 下野昌宣, 仁木和久. 知覚交代の背景にある全脳ネットワーク. 日本ヒト脳機能マッピング学会プログラム・抄録集. 2013. 15th. 60
- Masanori Shimono, John M. Beggs. Mesoscopic neuronal activity and neuronal network architecture. NEUROSCIENCE RESEARCH. 2011. 71. E304-E304
- Keiichi Kitajo, Yumi Nakagawa, Yutaka Uno, Ryohei Miyota, Masanori Shimono, Kentaro Yamanaka, Yoko Yamaguchi. State-dependency in large-scale propagation of phase resetting of ongoing activity. NEUROSCIENCE RESEARCH. 2011. 71. E48-E49
- Network of the Brain
2020 ISBN:9784622088844
-
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)
- PhD (The University of Tokyo)
- 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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- 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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- 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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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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