SHIMAZAKI HIDEAKI

シマザキヒデアキ | SHIMAZAKI HIDEAKI

Affiliation and department：
Job title： Associate Professor
Other affiliations (1)：

Hokkaido University Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN)

Homepage URL (2)： http://www.neuralengine.org , http://www.neuralengine.org/

Research field (3)： Basic brain sciences , Applied mathematics and statistics , Statistical science

Research keywords (4)： Information Theory , Machine Learning , Statistical Physics , Neural Coding

Research theme for competitive and other funds (14)：

2021 - 2026 Cell type census of adaptive neuronal circuits: biological mechanisms of structural and functional organization
2021 - 2026 Theoretical approaches to adaptive neuronal circuits identified by the cell type census
2020 - 2025 サイボーグAI学習のための階層的ベイズネットワーク
2020 - 2024 Development of statistical analysis methods for visualizing nonlinear activity of large-scale neural populations
2021 - 2022 Free energy principle of the brain: Implementation and Verification

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Papers (35)：

Christian Donner, Anuj Mishra, Hideaki Shimazaki. A projected nonlinear state-space model for forecasting time series signals. arXiv. 2023. 2311.13247
Ulises Rodríguez-Domínguez, Hideaki Shimazaki. Alternating shrinking higher-order interactions for sparse neural population activity. arXiv. 2023. 2308.13257
Miguel Aguilera, Masanao Igarashi, Hideaki Shimazaki. Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model. Nature Communications. 2023. 14. 3685
Safura Rashid Shomali, Seyyed Nader Rasuli, Majid Nili Ahmadabadi, Hideaki Shimazaki. Uncovering hidden network architecture from spiking activities using an exact statistical input-output relation of neurons. Communications biology. 2023. 6. 1. 169-169
Kazuyoshi Tatsumi, Yasuhiro Inamura, Maiko Kofu, Ryoji Kiyanagi, Hideaki Shimazaki. Optimization and inference of bin widths for histogramming inelastic neutron scattering spectra. Journal of Applied Crystallography. 2022. 55. 3. 533-543

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MISC (23)：

K. Tatsumi, M. Matsuura, H. Shimazaki, Y. Inamura. Locally Adaptive Kernel Density Estimation on Quasi-Elastic Neutron Scattering Energy Profiles. MLF Annual Report 2020. 2021
Hideaki Shimazaki. The principles of adaptation in organisms and machines II: Thermodynamics of the Bayesian brain. arXiv. 2020. 2006.13158
Shashwat Shukla, Hideaki Shimazaki, Udayan Ganguly. Structured Mean-field Variational Inference and Learning in Winner-take-all Spiking Neural Networks. 2019
中江健, 浦久保秀俊, 東広志, 田中康裕, 島崎秀昭, 尾藤晴彦, 石井信. 2019 年度時限研究会システム神経科学スプリングスクール 2019 (SNSS2019) 実施報告書. 日本神経回路学会誌. 2019. 26. 3. 99-103
島崎秀昭, 小川正, 熊田孝恒. 知覚の時間構造: 認知心理学・神経生理学・計算論の視点から. 日本神経回路学会誌. 2019. 26. 3. 49-50

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Patents (1)：

Books (5)：

イベント時系列解析入門
近代科学社 2023 ISBN:9784764906617
Active Inference Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
Springer 2023 ISBN:9783031287190
Neural coding
2021
Dynamic neuroscience : statistics, modeling, and control
Springer 2018 ISBN:9783319719757
Principles of Neural Science, Fifth Edition
MEDICAL SCIENCES INTERNATIONAL, LTD 2014 ISBN:4895927717

Lectures and oral presentations (132)：

Denoising of QENS energy profiles by a variable kernel density estimation
(2024)
Emergence of sparse coding via dendritic computation in a population of canonical visual binary neurons
(NeuroVisión 2023: Joint Meeting on Neuroimage Processing and Computational Vision 2023)
Application of Variable Kernel Density Estimation to Analyses of Quasi Elastic Neutron Scattering
(2023)
非定常・非対称な機能的結合の推定に基づく神経スパイク活動の不可逆性の検証
(日本神経回路学会 2023)
神経符号化研究の歴史と最前線
(神経回路学会2023 サテライト 2023)

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Professional career (2)：

Work history (4)：

2022/10 - 現在 Kyoto University Graduate School of Informatics Associate Professor
2020/04 - 2022/09 Hokkaido University Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) Associate Professor (Specially-appointed)
2017/04 - 2020/03 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology Project-specific Associate Professor
2016/04 - 2020/03 Honda Research Institute Senior Scientist

Committee career (9)：

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Awards (3)：

2016/10 - The 23rd International Conference on Neural Information Processing Excellent paper award
2009/09 - Japanese Neural Network Society 2009 Research Award
2006/09 - Japanese Neural Network Society 2007 Young Researcher Award

Association Membership(s) (3)：

Society for Neuroscience , 日本神経科学学会 , 日本神経回路学会

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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