Faculty Information - Sakemi Yusuke

■ Academic background

1.

2006/04～2010/03

Keio University, Graduated

■ Present specialized field

Computer system

■ Research activities

1.

2023/06～2025/11

The Physical Society of Japan

■ Works

1.	Article	Analog In-Memory Computing from a Memory-Agnostic Perspective: Theory, Nonidealities, and Hardware-Aware Training IEICE TRANSACTIONS on Fundamentals (Collaboration) 2025/12/18
2.	Article	Enhancing Time-Series Anomaly Detection by Integrating Spectral-Residual Bottom-Up Attention with Reservoir Computing arXiv (Collaboration) 2025/10/16
3.	Article	Chaos-based reinforcement learning with TD3 Neural Networks (Collaboration) 2025/10/15
4.	Article	Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems Advanced Intelligent Systems (Collaboration) 2025/08/18
5.	Article	Learning the Simplest Neural ODE arXiv (Collaboration) 2025/05/04
6.	Article	Neural activity responsiveness by maturation of inhibition underlying critical period plasticity Frontiers in Neural Circuits (Collaboration) 2025/01/22
7.	Article	Revealing Functions of Extra-Large Excitatory Postsynaptic Potentials: Insights from Dynamical Characteristics of Reservoir Computing with Spiking Neural Networks (Collaboration) 2024/09/17
8.	Article	Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks? International Joint Conference on Neural Networks (IJCNN) (Collaboration) 2024/09/09
9.	Article	Impact of Time-History Terms on Reservoir Dynamics and Prediction Accuracy in Echo State Networks Scientific Reports (Collaboration) 2024/04/15
10.	Article	Learning Reservoir Dynamics with Temporal Self-Modulation Communications Physics 7(29) (Collaboration) 2024/01/12
11.	Article	Sparse-firing regularization methods for spiking neural networks with time-to-first-spike coding Scientific Reports 13(22897) (Collaboration) 2023/12/21
12.	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
13.	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
14.	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
15.	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
16.	Article	Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks arXiv (Collaboration) 2021/06/25
17.	Article	Model-size reduction for reservoir computing by concatenating internal states through time Scientific Reports 10,pp.21794 (Collaboration) 2020/12/11
18.	Article	Noise-driven stochastic bistable circuits for brain-morphic systems The 2018 International Symposium on Nonlinear Theory and Its Applications (Collaboration) 2018/09/06
19.	Article	Orientation dependence in multichannel dissociative ionization of OCS molecules Physical Review A 96(011401) (Collaboration) 2017/07/11
20.	Article	Phase differences of near-threshold high-order harmonics generated in atoms and molecules Physical Review A 90(063403) (Collaboration) 2014/12/01
21.	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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Research Center for Mathematical Engineering

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