Faculty Information - Sakemi Yusuke

Academic background

Present specialized field

Research activities

Works

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（Last updated : 2025-10-06 09:43:32）

Sakemi Yusuke
Research Center for Mathematical Engineering(RCME)

Senior Research Scientist

■ Academic background

2006/04～2010/03

Keio University, Graduated

■ Present specialized field

Computer system

■ Research activities

2023/06～

The Physical Society of Japan

■ Works

1.	Article	Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems Advanced Intelligent Systems (Collaboration) 2025/08/18
2.	Article	Learning the Simplest Neural ODE arXiv (Collaboration) 2025/05/04
3.	Article	Neural activity responsiveness by maturation of inhibition underlying critical period plasticity Frontiers in Neural Circuits (Collaboration) 2025/01/22
4.	Article	Revealing Functions of Extra-Large Excitatory Postsynaptic Potentials: Insights from Dynamical Characteristics of Reservoir Computing with Spiking Neural Networks (Collaboration) 2024/09/17
5.	Article	Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks? International Joint Conference on Neural Networks (IJCNN) (Collaboration) 2024/09/09
6.	Article	Chaos-based reinforcement learning with TD3 arXiv (Collaboration) 2024/05/15
7.	Article	Impact of Time-History Terms on Reservoir Dynamics and Prediction Accuracy in Echo State Networks Scientific Reports (Collaboration) 2024/04/15
8.	Article	Learning Reservoir Dynamics with Temporal Self-Modulation Communications Physics 7(29) (Collaboration) 2024/01/12
9.	Article	Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding Scientific Reports 13(22897) (Collaboration) 2023/12/21
10.	Article	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) (Collaboration) 2023/08/02
11.	Article	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) (Collaboration) 2022/11/11
12.	Article	Robustness of Spiking Neural Networks based on Time-To-First-Spike Encoding against Adversarial Attacks IEEE Transactions on Circuits and Systems-II: Express Briefs pp.3640-3644 (Collaboration) 2022/06/20
13.	Article	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 34(1),pp.394-408 (Collaboration) 2021/07/19
14.	Article	Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks arXiv (Collaboration) 2021/06/25
15.	Article	Model-size reduction for reservoir computing by concatenating internal states through time Scientific Reports 10,pp.21794 (Collaboration) 2020/12/11
16.	Article	Noise-driven stochastic bistable circuits for brain-morphic systems The 2018 International Symposium on Nonlinear Theory and Its Applications (Collaboration) 2018/09/06
17.	Article	Orientation dependence in multichannel dissociative ionization of OCS molecules Physical Review A 96(011401) (Collaboration) 2017/07/11
18.	Article	Phase differences of near-threshold high-order harmonics generated in atoms and molecules Physical Review A 90(063403) (Collaboration) 2014/12/01
19.	Article	Characteristics of high-order harmonics generated from atoms and aligned molecules with carrier-envelope-phase-stabilized 25-fs pulses Physical Review A 85(051801) (Collaboration) 2012/03/04
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