Lab Name and Affiliation


Life Science Center of TARA, University of Tsukuba, Tsukuba, Ibaraki, Japan

Lab Director (or Principal Investigator)

Tomasz M. Rutkowski received his M.Sc. in Electronics and Ph.D. in Telecommunications and Acoustics from Wroclaw University of Technology, Poland, in 1994 and 2002, respectively. He received a postdoctoral training at the Multimedia Laboratory, Kyoto University, and in 2005-2010 he worked as a research scientist at RIKEN Brain Science Institute, Japan. Currently he serves as an assistant professor at the University of Tsukuba and as a visiting scientist at RIKEN Brain Science Institute. Professor Rutkowski's research interests include computational neuroscience, especially brain-computer interfacing technologies, computational modeling of brain processes, neurobiological signal and information processing, multimedia interfaces and interactive technology design. He is a senior member of IEEE, a member of The Society for Neuroscience, The Asia-Pacific Signal and Information Processing Association (APSIPA), and The Japan Neuroscience Society. He is a member of the Editorial Board of Frontiers in Fractal Physiology and serves as a reviewer for IEEE TNNLS, IEEE TSMC - Part B, Cognitive Neurodynamics, The Journal of Neural Engineering, Journal of Neuroscience Methods, and PLOS One.

Lab Introduction

The bci-lab.info team is an EEG & brain-computer interfacing (BCI) lab located in Life Science Center of TARA at University of Tsukuba, Tsukuba, Ibaraki, Japan.
The the bci-lab.info team focuses on multisensory BCI experiments - primarily the auditory and tactile modality paradigms (we also experiment with vision, as well as we prepare olfactory and gustatory paradigms in order to develop in near future the "all-sensory-stimulus-based-BCI"). We develop signal processing, especially data-driven, methods for biomedical signal denoisong, analysis and classification. The current lab projects are related to:
1. Multisensory BCI paradigms (auditory, visual, somatosensory, olfactory, gustatory, etc.)
2. Brain correlates of creativity elucidation
3. Imagery musical BCI
4. Adaptive and data-driven multivariate biomedical, especially EEG, signal processing and machine learning methods
5. EEG hyperscanning
6. Biomedical signal processing (ECG, EMG, GSR, pulse-oximetry, fNIRS, etc.).

Lab Contact E-mail