Rchr
J-GLOBAL ID：202201001007350004
Update date: May. 31, 2024
Sakemi Yusuke
サケミ ユウスケ | Sakemi Yusuke
Affiliation and department：
Job title：
Other
Homepage URL (1)：
https://sites.google.com/view/rcme-cit/
Research field (1)：
Computer systems
Research keywords (1)：
ニューロモルフィックエンジニアリング
Research theme for competitive and other funds (1)：
- 2022 - 脳型アナログ演算を支える数理モデリング
Papers (11)：
-
Yudai Ebato, Sou Nobukawa, Yusuke Sakemi, Haruhiko Nishimura, Takashi Kanamaru, Nina Svirdova, Kazuyuki Aihara. Impact of Time-History Terms on Reservoir Dynamics and Prediction Accuracy in Echo State Networks. Scientific Reports. 2024
-
Ibuki Matsumoto, Sou Nobukawa, Tomoki Kurikawa, Nobuhiko Wagatsuma, Yusuke Sakemi, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara. Optimal Excitatory and Inhibitory Balance for High Learning Performance in Spiking Neural Networks with Long-Tailed Synaptic Weight Distributions. International Joint Conference on Neural Networks (IJCNN). 2023
-
Yusuke Sakemi, Kai Morino, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara. A Spiking Neural Network with Resistively Coupled Synapses Using Time-to-First-Spike Coding Towards Efficient Charge-Domain Computing. IEEE International Symposium on Circuits and Systems (ISCAS). 2022
-
Robustness of Spiking Neural Networks based on Time-To-First-Spike Encoding against Adversarial Attacks. IEEE Transactions on Circuits and Systems-II: Express Briefs. 2022. 3640-3644
-
Yusuke Sakemi, Kai Morino, Takashi Morie, Kazuyuki Aihara. A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design. IEEE Transactions on Neural Networks and Learning Systems. 2021. 34. 1. 394-408
ｍore...
MISC (5)：
-
Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara. Chaos-based reinforcement learning with TD3. arXiv. 2024
-
Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, Takashi Morie, Kazuyuki Aihara. Learning Reservoir Dynamics with Temporal Self-Modulation. Communications Physics. 2024. 7. 29
-
Yusuke Sakemi, Kakei Yamamoto, Takeo Hosomi, Kazuyuki Aihara. Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding. Scientific Reports. 2023. 13. 22897
-
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions. arXiv. 2022. 2211.16113
-
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks. arXiv. 2021
Lectures and oral presentations (4)：
-
Spike-Based In-Memory Computing Circuits Using Open Source PDK
(The 5th International Symposium on Neuromorphic AI Hardware 2024)
-
物理情報を組み込んだ機械学習による重力波望遠鏡violine modeノイズ除去
(日本物理学会 第78回年次大会 2023)
-
Optimal Excitatory and Inhibitory Balance for High Learning Performance in Spiking Neural Networks with Long-Tailed Synaptic Weight Distributions
(2023 International Joint Conference on Neural Networks (IJCNN) 2023)
-
Innate trainingによるカオスニューロンモデルによって構成されたEcho State Networkの学習法
(電子情報通信学会 非線形問題研究会 2022)
Education (2)：
- 2010 - 2015 The University of Tokyo Graduate School, Division of Science
- 2006 - 2010 Keio University
Professional career (1)：
Work history (6)：
Committee career (1)：
- 2019 - 2020 回路とシステムワークショップ 実行委員
Association Membership(s) (1)：
The Physical Society of Japan
