Neural Interface Laboratory

We are conducting researches to understand how neural signals code information, and to develop a system that harnesses neural signals to actuate external systems or to provide feedbacks of the brain state. We are particularly interested in building a brain-computer interface (BCI) system, aiming to provide severely disabled persons an assistive technology or to establish direct communication channels between the brain and various actuators. Among key components of the BCI system, we concentrate on investigating how neural signals encode information, how we decode neural signals and what user interfaces will foster the usability. With these research issues, we are developing computational methods for the neural signal analysis and neural ensemble decoding. We are also concerned with how to train both the BCI users and decoding algorithms, how to maintain the reliability of the BCI system, and how to make the BCI system adapt to the brain state of the user in real time. We envision that our research contributes to the on-going world-wide development of BCIs which will be able to provide a useful and reliable communication interface.

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