Miura Keiji

ミウラケイジ | Miura Keiji

Affiliation and department：

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, David Barnhill, Keiji Miura, Daniel Howe. Tropical Density Estimation of Phylogenetic Trees. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2024. 1-9

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MISC (39)：

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Books (1)：

Lectures and oral presentations (181)：

Direct Feedback Alignment (DFA) Learning Rule can Implement Denoising Autoencoders in a Biologically Plausible Manner
(NEURO2024 2024)
Does the optimal structure of Vision Transformer (ViT) demonstrate a universal scaling law in accordance with the scale of the training data?
(NEURO2024 2024)
The comparison of the capacity of generating images of a diffusion model "DDIM" by replacing denoising CNNs
(NEURO2024 2024)
Tropical Neural Networks
(Mini-workshop on Geometry and Data Science at Naval Postgraduate School 2024)
Deep supervised learning can be realized robustly by layer-independent synaptic triad learning rule
(The 46th Annual Meeting of the Japan Neuroscience Society 2023)

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Education (2)：

Professional career (1)：

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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