Lab Director
Jun Izawa, PhD
Associate Professor in Engineering, Information, and Systems
email: izawa*emp.tsukuba.ac.jp
Members
Taisei Sugiyama
Postdoctoral research fellow
PhD in Human Informatics at University of Tsukuba
Taisei joined HEBBSS lab in 2016 and started his Ph.D. in Empowerment Informatics in 2017. As he majored in Cognitive Science at UCLA, his research interest lies in how external stimuli (e.g., rewards, training environments) influence motor behavior and learning. By elucidating and utilizing the effects and their underlying mechanisms, he hopes to improve motor rehabilitation and develop a robot rehabilitation system in the future. He also has experience in brain stimulation (TMS, tDCS), neuroimaging, and computational neuroscience. His research has been published in Nature Communication, European Journal of Physical and Rehabilitation, and PNAS.
Ryota Ishikawa
Graduate student in Humanics , JSPS Research Fellow (DC2)
Master Degree in Behavior Science at University of Tsukuba
Ryota joined HEBBSS lab in 2018 when entering the graduate school. After acquiring Master degree in Behavior Science, he started his Ph.D in Humanics in 2020. He has been working on investigating the mechanism of feeling Bodily self-consciousness from the viewpoint of motor learning. The current interest lies in how our perception is influenced if the consciousness is modulated via experiences in the VR. He hopes to uncover the neural basis underlying the phenomenon where we feel having another body or perceive somewhat stimuli when experiencing the VR. In the future, he intends to develop novel methodology to interfere the perception which has a crucial role in our life, such as pain.
His research has been published in iScience.
Jiaxing Tian
Graduate student in Empowerment Informatics
Master Degree in Information Science at Nara institute of science and technology
Jiaxing joined the HEBBSS lab in 2022 and started his Ph.D. in Empowerment Informatics. He has been working on the computation models of "exploration" and "exploitation" in human decision-making strategies based on reward stimuli. Currently, he is focusing on mathematical models of motor memory based on meta-cognition theory. In the future, he aims to develop powerful artificial intelligence models and algorithms by elucidating the mechanism of the human brain.
Meng-Hung Lee
Graduate student in Humanics
Master Degree in Institute of Brain Science at National Yang Ming Chiao Tung University
Meng-Hung joined HEBBSS lab in 2022 and started his Ph.D in Humanics. As he majored in deep learning model (GAN) synthesizing the music which can decrease the pain from brainwave, at NYCU. His research interest lies in how sleep influence motor behavior and learning. He hopes to elucidate and utilize the effects and their underlying mechanisms to improve motor rehabilitation and geriatric care.