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Yusuke Sakemi

Showing results (1-10 of 6) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|October 28, 2025
Chaos-based reinforcement learning with TD3Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara
Scientific Reports|December 21, 2023
Sparse-firing regularization methods for spiking neural networks with time-to-first-spike codingYusuke Sakemi, Kakei Yamamoto, Takeo Hosomi, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 19, 2021
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor DesignYusuke Sakemi, Kai Morino, Takashi Morie, et al.
Scientific Reports|December 14, 2020
Model-size reduction for reservoir computing by concatenating internal states through timeYusuke Sakemi, Kai Morino, Timothée Leleu, et al.
Scientific Reports|April 15, 2024
Impact of time-history terms on reservoir dynamics and prediction accuracy in echo state networksYudai Ebato, Sou Nobukawa, Yusuke Sakemi, et al.
Frontiers in Neural Circuits|February 6, 2025
Neural activity responsiveness by maturation of inhibition underlying critical period plasticityIbuki Matsumoto, Sou Nobukawa, Takashi Kanamaru, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|October 28, 2025
Chaos-based reinforcement learning with TD3Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara
Scientific Reports|December 21, 2023
Sparse-firing regularization methods for spiking neural networks with time-to-first-spike codingYusuke Sakemi, Kakei Yamamoto, Takeo Hosomi, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 19, 2021
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor DesignYusuke Sakemi, Kai Morino, Takashi Morie, et al.
Scientific Reports|December 14, 2020
Model-size reduction for reservoir computing by concatenating internal states through timeYusuke Sakemi, Kai Morino, Timothée Leleu, et al.
Scientific Reports|April 15, 2024
Impact of time-history terms on reservoir dynamics and prediction accuracy in echo state networksYudai Ebato, Sou Nobukawa, Yusuke Sakemi, et al.
Frontiers in Neural Circuits|February 6, 2025
Neural activity responsiveness by maturation of inhibition underlying critical period plasticityIbuki Matsumoto, Sou Nobukawa, Takashi Kanamaru, et al.
Pageof 1