Yusuke Sakemi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Learning Algorithm

Biologically Inspired

Spiking Neural Networks

Regularization Method

Top Venues

IEEE Trans. Circuits Syst. II Express Briefs

IEEE Trans. Neural Networks Learn. Syst.

Publications

Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara
Chaos-based reinforcement learning with TD3. CoRR (2024)
Yusuke Sakemi, Kakei Yamamoto, Takeo Hosomi, Kazuyuki Aihara
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding. CoRR (2023)
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 Trans. Neural Networks Learn. Syst. 34 (1) (2023)
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. IJCNN (2023)
Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, Takashi Morie, Kazuyuki Aihara
Learning Reservoir Dynamics with Temporal Self-Modulation. CoRR (2023)
Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions. CoRR (2022)
Osamu Nomura, Yusuke Sakemi, Takeo Hosomi, Takashi Morie
Robustness of Spiking Neural Networks Based on Time-to-First-Spike Encoding Against Adversarial Attacks. IEEE Trans. Circuits Syst. II Express Briefs 69 (9) (2022)
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. ISCAS (2022)
Yusuke Sakemi, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks. CoRR (2021)
Yusuke Sakemi, Kai Morino, Timothée G. Leleu, Kazuyuki Aihara
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time. CoRR (2020)
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. CoRR (2020)