Takafumi Suzuki
Center for Information and Neural Network, Japan
Title: Brain-machine interface (BMI) technologies for next generation applications
Abstract
Our research group is conducting several research projects not only to better understand human brain function but also to support and expand brain function for all people, including the elderly and handicapped. As part of these projects, we are developing brain-machine interface (BMI) technologies for next generation applications. In this talk, I will highlight the following three examples of our R & D projects with Osaka University related to BMI core technology development: a fully implantable electrocorticography (ECoG) device for clinical application, high density multichannel intracranial electrodes, and technologies for high-speed wireless communication from inside to outside the body. Although our BMI technology is currently invasive, we aim to improve the performance of noninvasive BMI to make it suitable for the general population.
Short biography
Takafumi Suzuki received a Doctoral degree (Engineering) from Graduate School of Engineering, the University of Tokyo in 1998. From 1998 to 2012, his work included artificial touch sensation using neural stimulation, neural control systems for artificial hearts, and work developing flexible neural probes. He was a research associate and assistant professor at the University of Tokyo until 2012.After moving to CiNet, he has been engaging in Brain-Machine Interface technology research such as high-density neural electrodes, neural decoding high-speed wireless technology and a fully implantable ECoG device for clinical application.