• Home
• Publication
• Research
• Team
• Equipment

Publications

• Sugiyama T, Uehara S, Izawa J. Meta-learning of human motor adaptation via the dorsal premotor cortex, PNAS(2024) link
• Sugiyama T, Uehara S, Yuasa A, Ushizawa K, Izawa J, Otaka Y. Learning-to-learn as a metacognitive correlate of functional outcomes after stroke: a cohort study. European journal of physical and rehabilitation medicine. 2024 Jul 29.link
• Sugiyama, T., Schweighofer, N, Izawa, J. Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance. Nat Commun 14, 3988 (2023). link
• Izawa, Jun, Noriyuki Higo, and Yumi Murata. "Accounting for the valley of recovery during post-stroke rehabilitation training via a model-based analysis of macaque manual dexterity." Frontiers in Rehabilitation Sciences 3 (2022): 1042912. 
• Sugiyama, Taisei, Keita Nakae, and Jun Izawa. "Transcranial magnetic stimulation on the dorsal premotor cortex facilitates human visuomotor adaptation." NeuroReport 33.16 (2022): 723. 
• Yihao Wu, Masahiko Morita, J Izawa. "Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning" Neural Networks(2022)
• LR Dal’Bello, J Izawa. "Computational role of exploration noise in error-based de novo motor learning" Neural Networks(2022)
• Wu, Yihao, and Jun Izawa. "The Regret Motivated Reinforcement Learning." 2021 International Symposium on Micro-NanoMehatronics and Human Science (MHS). IEEE, 2021.
• Ishikawa, Ryota, Saho Ayabe-Kanamura, and Jun Izawa. "The Role of Motor Memory Dynamics in Structuring Bodily Self-Consciousness." iScience (2021): 103511.
• Hirai M, Sakurada T, Izawa J, Ikeda T, Monden Y, Shimoizumi H, Yamagata T. Greater reliance on proprioceptive information during a reaching task with perspective manipulation among children with autism spectrum disorders. Scientific Reports. 2021 Aug 5;11(1):1-2.
• Dal’Bello LR, Izawa J. Task-relevant and task-irrelevant variability causally shape error-based motor learning. Neural Networks. 2021 Jul 21.
• Inoue T, Terada SI, Matsuzaki M, Izawa J. A small-scale robotic manipulandum for motor control study with rodents. Advanced Robotics. 2021 Apr 22:1-9.
• Tanamachi K, Izawa J, Yamamoto S, Ishii D, Yozu A, Kohno Y. Experience of after-effect of memory update reduces sensitivity to errors during sensory-motor adaptation task. Frontiers in Human Neuroscience. 2021;15.
• K Kita, R Osu, C Hosoda, M Honda, T Hanakawa, J Izawa, Neuroanatomical Basis of Individuality in Muscle Tuning Function: Neural Correlates of Muscle Tuning, Frontiers in Behavioral Neuroscience 13, 2019
Lee K, Oh Y, Izawa J, Schweighofer N. Sensory prediction errors, not performance errors, update memories in visuomotor adaptation. Scientific reports. 2018;8.
• Yokoyama H, Nambu I, Izawa J, Wada Y. Alpha Phase Synchronization of Parietal Areas Reflects Switch-Specific Activity During Mental Rotation: An EEG Study. Frontiers in human neuroscience. 2018;12:259.
• Fujiwara, Y., Lee, J., Ishikawa, T., Kakei, S., & Izawa, J. (2017). Diverse coordinate frames on sensorimotor areas in visuomotor transformation. Scientific Reports, 7(1), 14950.
• Nambu, Isao, Takuya Ozawa, Takanori Sato, Takatsugu Aihara, Yusuke Fujiwara, Yohei Otaka, Rieko Osu, Jun Izawa, and Yasuhiro Wada. "Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study." Journal of Biomedical Optics 22, no. 3 (2017): 035008-035008.
• Ishikawa, T., Tomatsu, S., Izawa, J., & Kakei, S. (2016). The cerebro-cerebellum: Could it be loci of forward models?. Neuroscience research, 104, 72-79.
• Ota, J., Asama, H., Kondo, T., Tanaka, H., Yano, S., Izawa, J., ... & Chiba, R. (2015, November). Modeling method in embodied-brain systems science. In Micro-NanoMechatronics and Human Science (MHS), 2015 International Symposium on (pp. 1-2). IEEE.
• Izawa, J., Asai, T., & Imamizu, H. (2016). Computational motor control as a window to understanding schizophrenia. Neuroscience research, 104, 44-51.
• Pekny, S. E., Izawa, J., & Shadmehr, R. (2015). Reward-dependent modulation of movement variability. Journal of Neuroscience, 35(9), 4015-4024.
• Yokoyama, H., Nambu, I., Izawa, J., & Wada, Y. (2014, August). Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (pp. 1326-1329). IEEE.
• Izawa, J., Yoshioka, T., & Osu, R. (2014). The influence of an uncertain force environment on reshaping trial-to-trial motor variability. NeuroReport, 25(13), 979-984.
• Ozawa, T., Aihara, T., Fujiwara, Y., Otaka, Y., Nambu, I., Osu, R., ... & Wada, Y. (2013, November). Detecting event-related motor activity using functional near-infrared spectroscopy. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on (pp. 1529-1532). IEEE.
• Asano, T., Izawa, J., & Sakaguchi, Y. (2013). Mechanisms for Generating Intermittency During Manual Tracking Task. In Advances in Cognitive Neurodynamics (III) (pp. 559-566). Springer Netherlands.
• Takata, Y., Kondo, T., Saeki, M., Izawa, J., Takeda, K., & Otaka, Y. (2012, August). Analysis of extrinsic and intrinsic factors affecting event related desynchronization production. In Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (pp. 4619-4622). IEEE.
• Takata, Y., Saeki, M., Izawa, J., Takeda, K., Otaka, Y., Ito, K., & Kondo, T. (2012, June). Analysis of key factors on ERD production for BCI neuro-robotic rehabilitation. In Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on (pp. 240-245). IEEE.
• Izawa, J., Pekny, S. E., Marko, M. K., Haswell, C. C., Shadmehr, R., & Mostofsky, S. H. (2012). Motor Learning Relies on Integrated Sensory Inputs in ADHD, but Over‐Selectively on Proprioception in Autism Spectrum Conditions. Autism Research, 5(2), 124-136.
• Izawa, J., Criscimagna-Hemminger, S. E., & Shadmehr, R. (2012). Cerebellar contributions to reach adaptation and learning sensory consequences of action. Journal of Neuroscience, 32(12), 4230-4239.
• de Xivry, J. J. O., Marko, M. K., Pekny, S. E., Pastor, D., Izawa, J., Celnik, P., & Shadmehr, R. (2011). Stimulation of the human motor cortex alters generalization patterns of motor learning. Journal of Neuroscience, 31(19), 7102-7110.
• Izawa, J., & Shadmehr, R. (2011). Learning from sensory and reward prediction errors during motor adaptation. PLoS Comput Biol, 7(3), e1002012.
• Izawa, J., & Shadmehr, R. (2010). Roles of reward and sensory perdition errors in motor learning. Neuroscience Research, 68, e107-e108.
• Mostofiky, S. H., Izawa, J., Marko, M., Pekny, S., Dowell, L. R., & Shadmehr, R. (2010, January). Evidence for specificity of anomalous motor learning in autism. In ANNALS OF NEUROLOGY (Vol. 68, No. 4, pp. S113-S113). DIV JOHN WILEY & SONS INC, 111 RIVER ST, HOBOKEN, NJ 07030 USA: WILEY-LISS.
• Haswell, C. C., Izawa, J., Dowell, L. R., Mostofsky, S. H., & Shadmehr, R. (2009). Representation of internal models of action in the autistic brain. Nature neuroscience, 12(8), 970-972.
• Izawa, J., & Shadmehr, R. (2008). On-line processing of uncertain information in visuomotor control. Journal of Neuroscience, 28(44), 11360-11368.
• Aodai, T., Izawa, J., Shimizu, T., Ito, K., & Toyama, S. (2008). Development of MR Compatible Manipulandum for Finger Movements. JOURNAL-JAPAN SOCIETY FOR PRECISION ENGINEERING, 74(4), 405.
• Izawa, J., Rane, T., Donchin, O., & Shadmehr, R. (2008). Motor adaptation as a process of reoptimization. Journal of Neuroscience, 28(11), 2883-2891.
• Sakurada, T., Gomi, H., Izawa, J., & Ito, K. (2007). Influence of finger somatosensory information on the coordination of bimanual finger movements. Neuroscience Research, 58, S92.
• Izawa, J., Shimizu, T., Gomi, H., Toyama, S., & Ito, K. (2006, May). MR compatible manipulandum with ultrasonic motor for fMRI studies. In Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on (pp. 3850-3854). IEEE.
• Ito, K., Kawakami, K., Izawa, J., & Kondo, T. (2004, August). Upper-limb impedance adjustment mechanism for dynamic environments. In SICE 2004 Annual Conference (Vol. 3, pp. 2660-2664). IEEE.
• Izawa, J., Kondo, T., & Ito, K. (2004). Biological arm motion through reinforcement learning. Biological cybernetics, 91(1), 10-22.
• Izawa, J., Kondo, T., & Ito, K. (2003, August). Human impedance characteristics during reaching movements. In SICE 2003 Annual Conference (Vol. 1, pp. 602-606). IEEE.
• Izawa, J., Kondo, T., & Ito, K. (2003, September). Motor learning model using reinforcement learning with neural internal model. In Robotics and Automation, 2003. Proceedings. ICRA'03. IEEE International Conference on (Vol. 3, pp. 3146-3151). IEEE.
• Izawa, J., Kondo, T., & Ito, K. (2002). Biological robot arm motion through reinforcement learning. In Robotics and Automation, 2002. Proceedings. ICRA'02. IEEE International Conference on (Vol. 4, pp. 3398-3403). IEEE.
• Ito, K., Izawa, J., & Kondo, T. (2001). Motor learning and control based on the internal model. In Decision and Control, 2001. Proceedings of the 40th IEEE Conference on (Vol. 1, pp. 21-26). IEEE.