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2020 – today
- 2024
[c4]Asato Fujimoto
, Sou Nobukawa, Yusuke Sakemi, Yoshiho Ikeuchi, Kazuyuki Aihara:
Revealing Functions of Extra-Large Excitatory Postsynaptic Potentials: Insights from Dynamical Characteristics of Reservoir Computing with Spiking Neural Networks. ICANN (4) 2024: 151-165- [c3]Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara:
Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks? IJCNN 2024: 1-9 - [i7]Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara:
Chaos-based reinforcement learning with TD3. CoRR abs/2405.09086 (2024) - 2023
- [j2]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): 394-408 (2023) - [c2]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: 1-8 - [i6]Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, Takashi Morie, Kazuyuki Aihara:
Learning Reservoir Dynamics with Temporal Self-Modulation. CoRR abs/2301.09235 (2023) - [i5]Yusuke Sakemi, Kakei Yamamoto, Takeo Hosomi, Kazuyuki Aihara:
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding. CoRR abs/2307.13007 (2023) - 2022
- [j1]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): 3640-3644 (2022) - [c1]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: 2152-2156 - [i4]Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara:
Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions. CoRR abs/2211.16113 (2022) - 2021
- [i3]Yusuke Sakemi, Takashi Morie, Takeo Hosomi, Kazuyuki Aihara:
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks. CoRR abs/2106.10382 (2021) - 2020
- [i2]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 abs/2001.05348 (2020) - [i1]Yusuke Sakemi, Kai Morino, Timothée G. Leleu, Kazuyuki Aihara:
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time. CoRR abs/2006.06218 (2020)
Coauthor Index
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