Dynamic switching of neural codes in networks with gap junctions. - Yuichi Katori; Naoki Masuda; Kazuyuki Aihara (Neural Networks, 2006)

Quantitative Modeling of Spatio-Temporal Dynamics of inferior Olive Neurons with a Simple Conductance-Based Model. - Yuichi Katori; Eric J. Lang; Miho Onizuka; Mitsuo Kawato; Kazuyuki Aihara (Int. J. Bifurc. Chaos, 2010)

Representational Switching by Dynamical Reorganization of Attractor Structure in a Network Model of the Prefrontal Cortex. - Yuichi Katori; Kazuhiro Sakamoto; Naohiro Saito; Jun Tanji; Hajime Mushiake; Kazuyuki Aihara (PLoS Comput. Biol., 2011)

Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses. - Yuichi Katori; Yosuke Otsubo; Masato Okada; Kazuyuki Aihara (Frontiers Comput. Neurosci., 2013)

Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation. - Miho Onizuka; Huu Hoang; Mitsuo Kawato; Isao T. Tokuda; Nicolas Schweighofer; Yuichi Katori; Kazuyuki Aihara; Eric J. Lang; Keisuke Toyama 001 (Neural Networks, 2013)

Bifurcation Analysis on Phase-Amplitude Cross-Frequency Coupling in Neural Networks with Dynamic Synapses. - Takumi Sase; Yuichi Katori; Motomasa Komuro; Kazuyuki Aihara (Frontiers Comput. Neurosci., 2017)

Stability Analysis on Sparsely Encoded Associative Memory with Short-Term Synaptic Dynamics. - Muyuan Xu; Yuichi Katori; Kazuyuki Aihara (Int. J. Bifurc. Chaos, 2017)

Infra-Slow Electroencephalogram Power Associates with Reaction Time in Simple Discrimination Tasks. - Naoyuki Sato; Yuichi Katori (ICONIP (1), 2019)

Reservoir Computing Based on Dynamics of Pseudo-Billiard System in Hypercube. - Yuichi Katori; Hakaru Tamukoh; Takashi Morie (IJCNN, 2019)

A Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation. - Masatoshi Yamaguchi; Yuichi Katori; Daichi Kamimura; Hakaru Tamukoh; Takashi Morie (IJCNN, 2019)

Possible Mechanism of Internal Visual Perception: Context-dependent Processing by Predictive Coding and Reservoir Computing Network. - Hiroto Tamura; Yuichi Katori; Kazuyuki Aihara (J. Robotics Netw. Artif. Life, 2019)

An area-efficient multiply-accumulation architecture and implementations for time-domain neural processing. - Ichiro Kawashima; Yuichi Katori; Takashi Morie; Hakaru Tamukoh (FPT, 2021)

Robot Arm Control Using Reward-Modulated Hebbian Learning. - Koutaro Minato; Yuichi Katori (ICONIP (6), 2021)

Brain-inspired neural network navigation system with hippocampus, prefrontal cortex, and amygdala functions. - Akinobu Mizutani; Yuichiro Tanaka; Hakaru Tamukoh; Yuichi Katori; Katsumi Tateno; Takashi Morie (ISPACS, 2021)

Chaos may enhance expressivity in cerebellar granular layer. - Keita Tokuda; Naoya Fujiwara; Akihito Sudo; Yuichi Katori (Neural Networks, 2021)

FPGA Implementation of a Chaotic Boltzmann Machine Annealer. - Kanta Yoshioka; Yuichi Katori; Yuichiro Tanaka; Osamu Nomura; Takashi Morie; Hakaru Tamukoh (IJCNN, 2023)

Analysis of predictive coding model with hierarchical reservoir computing for modeling Stroop effects. - Haruki Terakawa; Hideyuki Kato; Yoshihiro Yonemura; Yuichi Katori (ISOCC, 2023)

Mathematical Modeling of Binding Semantic Memory with Visual Information. - Hideyuki Kato; Haruki Terakawa; Yoshihiro Yonemura; Yuichi Katori (ICTC, 2024)

Reservoir Computing-Based Model of Action Planning: Emulating Prefrontal Cortex Functions with Dynamic Synapses and Reward-Based Learning. - Jin Nakamura; Yuichi Katori (IJCNN, 2024)

Hysteretic Oscillator-Based Reservoir Computing for Audio Waveform Pattern Recognition. - Reiji Ota; Yuzuru Kato; Yuichi Katori (IJCNN, 2024)

Enhancing Memory Capacity of Reservoir Computing with Delayed Input and Efficient Hardware Implementation with Shift Registers. - Soshi Hirayae; Kanta Yoshioka; Atsuki Yokota; Ichiro Kawashima; Yuichiro Tanaka; Yuichi Katori; Osamu Nomura; Takashi Morie; Hakaru Tamukoh (ISCAS, 2024)

Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition. - Yoshihiro Yonemura; Yuichi Katori (Frontiers Comput. Neurosci., 2024)

Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing. - Keita Tokuda; Yuichi Katori (Frontiers Artif. Intell., 2024)

Unsupervised Learning in Echo State Networks for Input Reconstruction. - Taiki Yamada; Yuichi Katori; Kantaro Fujiwara (CoRR, 2025)