Rchr
J-GLOBAL ID：201201059964712156   Update date: Apr. 04, 2024

Miura Keiji

ミウラ ケイジ | Miura Keiji
Affiliation and department：
Kwansei Gakuin University School of Biological and Environmental Sciences Department of Biosciences

About Kwansei Gakuin University School of Biological and Environmental Sciences Department of Biosciences


Research field  (2)： Neuroscience - general ,  Biological, health, and medical informatics
Research keywords  (3)： 包括脳ネットワーク ,  非線形動力学 ,  理論神経科学
Research theme for competitive and other funds  (10)：
  • 2022 - 2025 Elucidation of regulatory mechanisms of reproductive division of labor in an ant using an automated behavior tracking system
  • 2022 - 2024 Development of a new topological data analysis by integration with computational vison theory
  • 2018 - 2023 背景脳活動が遍歴する下でも恒常的に感覚認識できる神経計算機構の解明
  • 2016 - 2018 準素イデアル分解を用いた疎性へのアプローチ
  • 2013 - 2017 Neural substrate of the internal model of the intention of others
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Papers (53)：
  • Ruriko Yoshida, Georgios Aliatimis, Keiji Miura. Tropical neural networks and its applications to classifying phylogenetic trees. IJCNN2024 (The International Joint Conference on Neural Networks). 2024
  • Masataka Konishi, Keiji Miura. Biologically plausible local synaptic learning rules implement CNNs and denoising autoencoders. International Conference on Scientific Computing and Machine Learning 2024 (SCML2024). 2024
  • David Barnhill, John Sabol, Ruriko Yoshida, Keiji Miura. Tropical Fermat-Weber Polytropes. 2024
  • Kurt Pasque, Christopher Teska, Ruriko Yoshida, Keiji Miura, Jefferson Huang. Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks. CoRR. 2024. abs/2402.00576
  • Ruriko Yoshida, Keiji Miura, David Barnhill. Hit and run sampling from tropically convex sets. Algebraic Statistics. 2023. 14. 1. 37-69
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MISC (39)：
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Books (1)：
  • 嗅覚と匂い・香りの産業利用最前線
    エヌティーエス 2013 ISBN:4864690561
Lectures and oral presentations  (177)：
  • Deep supervised learning can be realized robustly by layer-independent synaptic triad learning rule
    (The 46th Annual Meeting of the Japan Neuroscience Society 2023)
  • Exploring deep network structures that maximize classification performance of CIFAR10 images
    (NEURO2022 2022)
  • Generation of CG images of insects by DCGAN
    (NEURO2022 2022)
  • Detection of ant positions with distinguished species for behavioral tracking by PyTorch SSD
    (NEURO2022 2022)
  • Neuromorphic computation of a topological invariant under continuous deformation can explain complex neural activities in IT cortex
    (Neuro2021 2021)
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Education (2)：
  • 2001 - 2006 Kyoto University Department of Physics
  • 1997 - 2001 University of Tokyo Department of Physics
Professional career (1)：
  • 博士(理学) (京都大学)
Work history (5)：
  • 2021/04 - 現在 Kwansei Gakuin University School of Biological and Environmental Sciences, Department of Biosciences
  • 2015/04 - 2021/03 Kwansei Gakuin University School of Science and Technology, Department of Biosciences Associate Professor
  • 2011/04 - 2015/03 Tohoku University Graduate School of Information Sciences Assistant Professor
  • 2008/10 - 2011/03 Harvard University Department of Molecular and Cellular Biology PRESTO Researcher
  • 2006/04 - 2008/09 University of Tokyo JSPS Research Fellow
Awards (5)：
  • 2014/10 - 第3回藤原洋数理科学賞 奨励賞
  • 2012/12 - Aoba Foundation for the Promotion of Engineering Young Researcher Award
  • 2006 - Japanese Neural Network Society Research Award
  • 2005/12 - NIPS Foundation Outstanding Student Paper Awards
  • 2005 - Japanese Neural Network Society Young Researcher Award
Association Membership(s) (4)：
Society for Industrial and Applied Mathematics ,  Society for Neuroscience ,  THE JAPAN NEUROSCIENCE SOCIETY ,  JAPANESE NEURAL NETWORK SOCIETY
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