KONDO Toshiyuki

Professional Career

1997.04 - 2000.03 : JSPS Research Fellow
2000.04 - 2006.03 : Assistant, School of Engineering, Tokyo Institute of Technology
2006.04 - 2007.03 : Senior Assistant Professor, Institute of Engineering, Tokyo University of Agriculture and Technology
2007.03 - 2007.04 : Assistant Professor, Institute of Engineering, Tokyo University of Agriculture and Technology
2007.04 - 2014.11 : Associate Professor, Institute of Engineering, Tokyo University of Agriculture and Technology
2014.11 - present : Professor, Institute of Engineering, Tokyo University of Agriculture and Technology

Academic Degrees

1997　Ph.D. in Engineering, Nagoya University

Research Interests

human motor learning, functional brain imaging, neurocomputing, evolutionary computation, reinforcement learning

Publications

• Nakayashiki, K., Tojiki, H., Hayashi, Y., Yano S., and Kondo, T., Brain Processes involved in motor planning are a dominant factor for inducing event-related desynchronization, Frontiers in Human Neuroscience, 2021, DOI: 10.3389/fnhum.2021.764281
• Saracbasi, O., Harwin, W., Kondo, T., and Hayashi, Y., Mutual Skill Learning and Adaptability to Others via Haptic Interaction, Frontiers in Neurorobotics, 2021, DOI: 10.3389/fnbot.2021.760132.
• Sakabe, N., Altukhaim, S., Hayashi, Y., Sakurada, T., Yano, S., and Kondo, T., Enhanced Visual Feedback Using Immersive VR Affects Decision Making regarding Hand Use with a Simulated Impaired limb, Frontiers in Human Neuroscience, 2021, 15:677578. doi: 10.3389/fnhum.2021.677578
• K. Nishimura, O. O. Saracbasi, Y. Hayashi, and T. Kondo, “Cooperative Visuomotor Learning Experience with Peer Enhances Adaptability to Others,” Advanced Robotics, DOI: 10.1080/01691864.2021.1913445
• Phuong Thi Mai Nguyen, Yoshikatsu Hayashi, Murilo Da Silva Baptista, and Toshiyuki Kondo, Collective Almost Synchronization based-model to extract and predict features of EEG signals, Scientific Reports, 10.1, 16342, 2020
• X. Li, B. Mota, T. Kondo, S. Nasuto, and Y. Hayashi, EEG Dynamical Network Analysis Method Reveals the Neural Signature of Visual-Motor Coordination, PLOS ONE, 15.5, e0231767
• Honda T, Mitoma H, Yoshida H, Bando K, Terashi H, Taguchi T, Miyata Y, Kumada S, Hanakawa T, Aizawa H, Yano S, Kondo T, Mizusawa H, Manto M and Kakei S (2020) Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal. Frontiers in Neurology. vol.10, no. 1, pages 7044, April 2020　11:179. doi: 10.3389/fneur.2020.00179
• N.Thorne, J.J.Honisch, T.Kondo, S.Nasuto, Y.Hayashi, Temporal structure in haptic signaling under a cooperative task, Frontiers in Human Neuroscience, 2019, 13.372 10.3389/fnhum.2019.00372