Yuichi Katori - RankMe

27 papers B 5C 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient connectivity and intrinsic noise separation in recurrent spiking neural networks trained with e-prop. Neuromorph. Comput. Eng. Davide Noè, Hideaki Yamamoto, Yuichi Katori, Shigeo Sato
2025	—	`conf`	Photonic Reservoir-Based Reinforcement Learning for Autonomous Mobile Robots Using Subcarrier Intermodulation Distortion. ECOC Hideaki Tanaka, Yusuke Chikamoto, Takashi Kan, Hidenori Takahashi, Yuichi Katori, Takehiro Tsuritani
2025	J	`jnl`	Unsupervised Learning in Echo State Networks for Input Reconstruction. CoRR Taiki Yamada, Yuichi Katori, Kantaro Fujiwara
2024	J	`jnl`	Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition. Frontiers Comput. Neurosci. Yoshihiro Yonemura, Yuichi Katori
2024	C	`conf`	Enhancing Memory Capacity of Reservoir Computing with Delayed Input and Efficient Hardware Implementation with Shift Registers. ISCAS Soshi Hirayae, Kanta Yoshioka, Atsuki Yokota, Ichiro Kawashima, Yuichiro Tanaka, Yuichi Katori, Osamu Nomura, Takashi Morie, Hakaru Tamukoh
2024	B	`conf`	Hysteretic Oscillator-Based Reservoir Computing for Audio Waveform Pattern Recognition. IJCNN Reiji Ota, Yuzuru Kato, Yuichi Katori
2024	—	`conf`	Mathematical Modeling of Binding Semantic Memory with Visual Information. ICTC Hideyuki Kato, Haruki Terakawa, Yoshihiro Yonemura, Yuichi Katori
2024	J	`jnl`	Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing. CoRR Keita Tokuda, Yuichi Katori
2024	J	`jnl`	Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing. Frontiers Artif. Intell. Keita Tokuda, Yuichi Katori
2024	B	`conf`	Reservoir Computing-Based Model of Action Planning: Emulating Prefrontal Cortex Functions with Dynamic Synapses and Reward-Based Learning. IJCNN Jin Nakamura, Yuichi Katori
2023	—	`conf`	Analysis of predictive coding model with hierarchical reservoir computing for modeling Stroop effects. ISOCC Haruki Terakawa, Hideyuki Kato, Yoshihiro Yonemura, Yuichi Katori
2023	B	`conf`	FPGA Implementation of a Chaotic Boltzmann Machine Annealer. IJCNN Kanta Yoshioka, Yuichi Katori, Yuichiro Tanaka, Osamu Nomura, Takashi Morie, Hakaru Tamukoh
2021	—	`conf`	An area-efficient multiply-accumulation architecture and implementations for time-domain neural processing. FPT Ichiro Kawashima, Yuichi Katori, Takashi Morie, Hakaru Tamukoh
2021	—	`conf`	Brain-inspired neural network navigation system with hippocampus, prefrontal cortex, and amygdala functions. ISPACS Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Yuichi Katori, Katsumi Tateno, Takashi Morie
2021	J	`jnl`	Chaos may enhance expressivity in cerebellar granular layer. Neural Networks Keita Tokuda, Naoya Fujiwara, Akihito Sudo, Yuichi Katori
2021	—	`conf`	Robot Arm Control Using Reward-Modulated Hebbian Learning. ICONIP (6) Koutaro Minato, Yuichi Katori
2019	B	`conf`	A Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation. IJCNN Masatoshi Yamaguchi, Yuichi Katori, Daichi Kamimura, Hakaru Tamukoh, Takashi Morie
2019	—	`conf`	Infra-Slow Electroencephalogram Power Associates with Reaction Time in Simple Discrimination Tasks. ICONIP (1) Naoyuki Sato, Yuichi Katori
2019	J	`jnl`	Possible Mechanism of Internal Visual Perception: Context-dependent Processing by Predictive Coding and Reservoir Computing Network. J. Robotics Netw. Artif. Life Hiroto Tamura, Yuichi Katori, Kazuyuki Aihara
2019	B	`conf`	Reservoir Computing Based on Dynamics of Pseudo-Billiard System in Hypercube. IJCNN Yuichi Katori, Hakaru Tamukoh, Takashi Morie
2017	J	`jnl`	Bifurcation Analysis on Phase-Amplitude Cross-Frequency Coupling in Neural Networks with Dynamic Synapses. Frontiers Comput. Neurosci. Takumi Sase, Yuichi Katori, Motomasa Komuro, Kazuyuki Aihara
2017	J	`jnl`	Stability Analysis on Sparsely Encoded Associative Memory with Short-Term Synaptic Dynamics. Int. J. Bifurc. Chaos Muyuan Xu, Yuichi Katori, Kazuyuki Aihara
2013	J	`jnl`	Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation. Neural Networks Miho Onizuka, Huu Hoang, Mitsuo Kawato, Isao T. Tokuda, Nicolas Schweighofer, Yuichi Katori, Kazuyuki Aihara, Eric J. Lang, Keisuke Toyama
2013	J	`jnl`	Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses. Frontiers Comput. Neurosci. Yuichi Katori, Yosuke Otsubo, Masato Okada, Kazuyuki Aihara
2011	J	`jnl`	Representational Switching by Dynamical Reorganization of Attractor Structure in a Network Model of the Prefrontal Cortex. PLoS Comput. Biol. Yuichi Katori, Kazuhiro Sakamoto, Naohiro Saito, Jun Tanji, Hajime Mushiake, Kazuyuki Aihara
2010	J	`jnl`	Quantitative Modeling of Spatio-Temporal Dynamics of inferior Olive Neurons with a Simple Conductance-Based Model. Int. J. Bifurc. Chaos Yuichi Katori, Eric J. Lang, Miho Onizuka, Mitsuo Kawato, Kazuyuki Aihara
2006	J	`jnl`	Dynamic switching of neural codes in networks with gap junctions. Neural Networks Yuichi Katori, Naoki Masuda, Kazuyuki Aihara