Jun Izawa

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Top Venues

Neural Networks

Publications

Jiaxing Tian, Jun Izawa
Study on High-Level Structure of cognition control construction in Exploration and Exploitation within Multi-Armed Bandit Model of Reinforcement Learning. MHS (2023)
Yihao Wu, Masahiko Morita, Jun Izawa
Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning. Neural Networks 154 (2022)
Lucas Rebelo Dal'Bello, Jun Izawa
Computational role of exploration noise in error-based de novo motor learning. Neural Networks 153 (2022)
Takahisa Inoue, Shin Terada, Masanori Matsuzaki, Jun Izawa
A small-scale robotic manipulandum for motor control study with rodents. Adv. Robotics 35 (13-14) (2021)
Lucas Rebelo Dal'Bello, Jun Izawa
Task-relevant and task-irrelevant variability causally shape error-based motor learning. Neural Networks 142 (2021)
Yihao Wu, Jun Izawa
The Regret Motivated Reinforcement Learning. MHS (2021)
Ryota Ishikawa, Kyohei Sasaki, Saho Ayabe-Kanamura, Jun Izawa
Learning to control the other's body facilitates the embodied perspective taking. CogSci (2019)
Jun Izawa
Application of computational neuroscience to robotic rehabilitation: a conceptual study. MHS (2018)
Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Masahiko Morita
Robustness of Selective Desensitization Perceptron Against Irrelevant and Partially Relevant Features in Pattern Classification. ICONIP (6) (2017)
Daichi Sasaki, Jun Izawa, Masahiko Morita
A computational approach to detect a mete-learning of the cortical basis function during a motor adaptation study. MHS (2015)
Jun Ota, Hajime Asama, Toshiyuki Kondo, Hirokazu Tanaka, Shiro Yano, Jun Izawa, Shinya Aoi, Ryosuke Chiba
Modeling method in embodied-brain systems science. MHS (2015)
Hiroshi Yokoyama, Isao Nambu, Jun Izawa, Yasuhiro Wada
Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery. EMBC (2014)
Yohei Takata, Toshiyuki Kondo, Midori Saeki, Jun Izawa, Kotaro Takeda, Yohei Otaka, Koji Ito
Analysis of extrinsic and intrinsic factors affecting event related desynchronization production. EMBC (2012)
Jun Izawa, Reza Shadmehr
Learning from Sensory and Reward Prediction Errors during Motor Adaptation. PLoS Comput. Biol. 7 (3) (2011)
Jun Izawa, Takahiro Shimizu, Toshiyuki Aodai, Toshiyuki Kondo, Hiroaki Gomi, Shigeki Toyama, Koji Ito
MR Compatible Manipulandum with Ultrasonic Motor for fMRI Studies. ICRA (2006)
Jun Izawa, Toshiyuki Kondo, Koji Ito
Biological arm motion through reinforcement learning. Biol. Cybern. 91 (1) (2004)
Jun Izawa, Toshiyuki Kondo, Koji Ito
Motor learning model using reinforcement learning with neural internal model. ICRA (2003)
Jun Izawa, Toshiyuki Kondo, Koji Ito
Biological Robot Arm Motion through Reinforcement Learning. ICRA (2002)
Koji Ito, Jun Izawa, Toshiyuki Kondo
Motor learning and control based on the internal model. CDC (2001)