A self-learning digital neural network using wafer-scale LSI. - Moritoshi Yasunaga; Noboru Masuda; Masayoshi Yagyu; Mitsuo Asai; Katsunari Shibata; Mitsuo Ooyama; Minoru Yamada; Takahiro Sakaguchi; Masashi Hashimoto (IEEE J. Solid State Circuits, 1993)

Some learning models of visual system based on local sensory signals integration learning. - Katsunari Shibata; Yoichi Okabe (ICNN, 1995)

Reinforcement learning when visual sensory signals are directly given as inputs. - Katsunari Shibata; Yoichi Okabe (ICNN, 1997)

Reconstruction of Visual Sensory Space on the Hidden Layer in Layered Neural Networks. - Katsunari Shibata; Koji Ito (ICONIP, 1998)

Gauss-sigmoid neural network. - Katsunari Shibata; Koji Ito (IJCNN, 1999)

Emergence of Communication for Negotiation by a Recurrent Neural Network. - Katsunari Shibata; Koji Ito (ISADS, 1999)

A Learning and Dynamic Pattern Generating Architecture for Skillful Robotic Baseball Batting System. - Xin-Zhi Zheng; Wataru Inamura; Katsunari Shibata; Koji Ito (ICRA, 2000)

Prosthetic hand control based on torque estimation from EMG signals. - Satoshi Morita; Katsunari Shibata; Xin-Zhi Zheng; Koji Ito (IROS, 2000)

Robotic batting system – an architecture for learning and dynamic pattern generation. - Xin-Zhi Zheng; Wataru Inamura; Katsunari Shibata; Koji Ito (Adv. Robotics, 2000)

Actor-Q Based Active Perception Learning System. - Katsunari Shibata; Tetsuo Nishino; Yoichi Okabe (ICRA, 2001)

Active perception and recognition learning system based on Actor-Q architecture. - Katsunari Shibata; Tetsuo Nishino; Yoichi Okabe (Syst. Comput. Jpn., 2002)

Growing neural network for acquisition of 2-layer structure. - Ryusuke Kurino; Masanori Sugisaka; Katsunari Shibata (IJCNN, 2003)

Direct-vision-based reinforcement learning in a real mobile robot. - Masaru Iida; Masanori Sugisaka; Katsunari Shibata (Artif. Life Robotics, 2003)

Dynamics of a recurrent neural network acquired through learning a context-based attention task. - Katsunari Shibata; Masanori Sugisaka (Artif. Life Robotics, 2004)

A model to explain the emergence of reward expectancy neurons using reinforcement learning and neural network. - Shinya Ishii; Munetaka Shidara; Katsunari Shibata (Neurocomputing, 2006)

Practical Recurrent Learning (PRL) in the Discrete Time Domain. - Mohamad Faizal Bin Samsudin; Takeshi Hirose; Katsunari Shibata (ICONIP (1), 2007)

Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task. - Mohamad Faizal Bin Samsudin; Katsunari Shibata (ICONIP (2), 2008)

Learning of Action Generation from Raw Camera Images in a Real-World-Like Environment by Simple Coupling of Reinforcement Learning and a Neural Network. - Katsunari Shibata; Tomohiko Kawano (ICONIP (1), 2008)

Contextual Behaviors and Internal Representations Acquired by Reinforcement Learning with a Recurrent Neural Network in a Continuous State and Action Space Task. - Hiroki Utsunomiya; Katsunari Shibata (ICONIP (2), 2008)

The CHAIN-Project and Installation of Flare Monitoring Telescopes in Developing Countries. - Satoru UeNo; Katsunari Shibata; Reizaburo Kitai; K. Ichimoto; S. Nagata; Hiroaki Isobe; G. Kimura; Y. Nakatani; M. Kadota; T. T. Ishii; Satoshi Morita; K. Otsuji (Data Sci. J., 2009)

Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network. - Kenta Goto; Katsunari Shibata (J. Robotics, 2010)

Discount and speed/execution tradeoffs in Markov Decision Process games. - Reinaldo Uribe; Fernando Lozano; Katsunari Shibata; Charles Anderson 001 (CIG, 2011)

Emergence of Purposive and Grounded Communication through Reinforcement Learning. - Katsunari Shibata; Kazuki Sasahara (ICONIP (3), 2011)

Discovery of pattern meaning from delayed rewards by reinforcement learning with a recurrent neural network. - Katsunari Shibata; Hiroki Utsunomiya (IJCNN, 2011)

Emergence of color constancy illusion through reinforcement learning with a neural network. - Katsunari Shibata; Shunsuke Kurizaki (ICDL-EPIROB, 2012)

Emergence of Multi-step Discrete State Transition through Reinforcement Learning with a Recurrent Neural Network. - Mohamad Faizal Bin Samsudin; Yoshito Sawatsubashi; Katsunari Shibata (ICONIP (2), 2012)

Performance comparison of non-RNN and RNN in Emergence of Discrete Decision Making through Reinforcement Learning. - Mohamad Faizal Bin Samsudin; Katsunari Shibata (KES, 2012)

Emergence of Discrete and Abstract State Representation through Reinforcement Learning in a Continuous Input Task. - Yoshito Sawatsubashi; Mohamad Faizal Bin Samusudin; Katsunari Shibata (RiTA, 2012)

Differential Trace in Learning of Value Function with a Neural Network. - Katsunari Shibata; Shuji Enoki (RiTA, 2012)

Emergence of flexible prediction-based discrete decision making and continuous motion generation through actor-Q-learning. - Katsunari Shibata; Kenta Goto (ICDL-EPIROB, 2013)

Acquisition of Context-Based Active Word Recognition by Q-Learning Using a Recurrent Neural Network. - Ahmad Athif Mohd Faudzi; Katsunari Shibata (RiTA, 2013)

Causality traces for retrospective learning in neural networks - Introduction of parallel and subjective time scales. - Katsunari Shibata (IJCNN, 2014)

Reinforcement learning with internal-dynamics-based exploration using a chaotic neural network. - Katsunari Shibata; Yuta Sakashita (IJCNN, 2015)

Emergence of Higher Exploration in Reinforcement Learning Using a Chaotic Neural Network. - Yuki Goto; Katsunari Shibata (ICONIP (1), 2016)

Reward-Based Learning of a Memory-Required Task Based on the Internal Dynamics of a Chaotic Neural Network. - Toshitaka Matsuki; Katsunari Shibata (ICONIP (1), 2016)

Influence of the Chaotic Property on Reinforcement Learning Using a Chaotic Neural Network. - Yuki Goto; Katsunari Shibata (ICONIP (1), 2017)

Reinforcement Learning of a Memory Task Using an Echo State Network with Multi-layer Readout. - Toshitaka Matsuki; Katsunari Shibata (RiTA, 2017)

Functions that Emerge through End-to-end Reinforcement Learning. - Katsunari Shibata (CoRR, 2017)

Communications that Emerge through Reinforcement Learning Using a (Recurrent) Neural Network. - Katsunari Shibata (CoRR, 2017)

New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning -. - Katsunari Shibata; Yuki Goto (CoRR, 2017)

Chaos-Based Reinforcement Learning When Introducing Refractoriness in Each Neuron. - Katsuki Sato; Yuki Goto; Katsunari Shibata (RiTA, 2018)

Q-learning with exploration driven by internal dynamics in chaotic neural network. - Toshitaka Matsuki; Souya Inoue; Katsunari Shibata (IJCNN, 2020)

Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning. - Toshitaka Matsuki; Katsunari Shibata (Neural Networks, 2020)

Sensitivity - Local index to control chaoticity or gradient globally -. - Katsunari Shibata; Takuya Ejima; Yuki Tokumaru; Toshitaka Matsuki (Neural Networks, 2021)

Dynamic Reinforcement Learning for Actors. - Katsunari Shibata (CoRR, 2025)