RIKEN Center for Advanced Intelligence Project Information Integration for Neuroscience Team

Team Leader: Motoaki Kawanabe (D.Eng.)

Japanese Page

Research Summary

In the aging and high-stress society of recent years, the number of people who suffer from mental disorders continues to increase year after year, and inflating medical expenses become a critical social issue as well. Towards creation of a novel brain/mental health management framework to prevent serious disorder, we are developing necessary key technologies such as brain state estimation methods by integrating everyday multi-sensor data with brain information, and robust EEG analysis techniques using fMRI data.

Main Research Fields

Neuroscience & Behavior

Related Research Fields

Engineering
Computer Science

Research Subjects

Robust Analysis Techniques for Multi-modal Brain Data
Daily Life Monitoring by Multi-sensors
Management of Brain and Mental Health

Selected Publications

Papers with an asterisk(*) are based on research conducted outside of RIKEN.

1.Hirayama, J., Hyvärinen, A., and Kawanabe, M.:
“SPLICE: Fully tractable hierarchical extension of ICA with pooling”
Proceedings of the 34th International Conference on Machine Learning, (2017).
2.Hirayama, J., Hyvärinen, A., Kiviniemi, V., Kawanabe, M., and Yamashita, O.:
“Characterizing variability of modular brain connectivity with constrained principal component analysis”
PLOS ONE, Vol. 11, e0168180 (2016).
3.*Hyvärinen, A., Hirayama, J., Kiviniemi, V., and Kawanabe,M.:
“Orthogonal connectivity factorization: Interpretable decomposition of variability in correlation matrices”
Neural Computation, Vol.28, pp. 445-484 (2016).
4.*Morioka, H., Kanemura, A., Hirayama, J., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M., and Ishii, S.:
“Learning a common dictionary for subject-transfer decoding with resting calibration”
NeuroImage, Vol. 111, pp. 167-178 (2015).
5.*Morioka, H., Kanemura, A., Morimoto, S., Yoshioka, T., Oba, S., Kawanabe, M., and Ishii, S.:
“Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information”
NeuroImage, Vol. 90, pp. 128-139 (2014).
6.*Samek, W., Kawanabe, M., and Müller, K.-R.:
“Divergence-based framework for common spatial patterns algorithms.”
IEEE Reviews in Biomedical Engineering, Vol. 7, pp. 50-72 (2014).
7.*Kawanabe, M., Samek, W., Müller, K.-R., and Vidaurre, C.:
“Robust common spatial filters with a maxmin approach”
Neural Computation, Vol. 26, pp. 349-376 (2014).
8.*Binder, A., Müller, K.-R., and Kawanabe, M.:
“On taxonomies for multi-class image categorization”
International Journal of Computer Vision, Vol. 99, pp. 281-301 (2012).
9.*Haufe, S., Tomioka, R., Nolte, G., Müller, K.-R., and Kawanabe, M.:
“Modeling sparse connectivity between underlying brain sources for EEG/MEG”
IEEE Transactions on Biomedical Engineering, Vol. 57, pp. 1954-1963 (2010).
10.*Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., and Müller, K.-R.:
“Optimizing spatial filters for robust EEG single-trial analysis”
IEEE Signal Processing Magazine, Vol.25, pp.41-56 (2008).

Lab Members

Principal investigator

Motoaki Kawanabe: Team Leader

Contact Information

2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto
Email: motoaki.kawanabe [at] riken.jp