TANAKA Toshihisa

Professional Career

2000/04-2002/09 : JSPS Research Fellow
2002/10-2004/03 : Researcher, RIKEN Brain Science Institute
2004/3 - present : Visiting Researcher, RIKEN Brain Science Institute
2004/4 - 2006/3 : Senior Assistant Professor, Institute of Engineering, Tokyo University of Agriculture and Technology
2006/4 - 2018/9 : Associate Professor, Division of Advanced Electrical and Electronics Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology
2018/10 - present : Professor, Institute of Global Innovation Research, Tokyo University of Agriculture and Technology

Academic Degrees

2000　Ms.C. in Engineering, Tokyo Institute of Technology
2002　Ph.D. in Engineering, Tokyo Institute of Technology

Research Interests

Signal Processing, Biosignal Informatics, Neuroscience and Engineering

Publications

• X. Zhao, J. Solé-Casals, H. Sugano, and T. Tanaka, “Seizure onset zone classification based on imbalanced iEEG with data augmentation,” J. Neural Eng., Nov. 2022.19 (6), 065001
• Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jordi Sole-Casal,s Guoxu Zhou, Takumi Mitsuhashi, Hidenori Sugano, Noboru Yoshida, and Jianting Cao, “Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation,” Cogn Neurodyn (2022) DOI: 10.1007/s11571-022-09857-4
• Md. Rabiul Islam, Xuyang Zhao, Yao Miao, Hidenori Sugano, and Toshihisa Tanaka, “Epileptic seizure focus detection from interictal electroencephalogram: a survey,” Cognitive Neurodynamics, 18 May 2022, DOI: 10.1007/s11571-022-09816-z
• M. Nakanishi, Y. Tanji and T. Tanaka, Waveform-Coded Steady-State Visual Evoked Potentials for Brain-Computer Interfaces, IEEE Access, vol. 9, pp. 144768-144775, 2021.
• S. Ahmadi-Asl, C. S. Caiafa, A. Cichocki, A.-H. Phan, T. Tanaka, I. Oseledets, and J. Wang, Cross Tensor Approximation Methods for Compression and Dimensionality Reduction, IEEE Access, vol. 9, pp. 150809-150838, 2021
• Bonci, A.; Fiori, S.; Higashi, H.; Tanaka, T.; Verdini, F. An Introductory Tutorial on Brain–Computer Interfaces and Their Applications. Electronics 2021, 10, 560. https://doi.org/10.3390/electronics10050560
• Akter Most. Sheuli, Islam Md. Rabiul, Toshihisa Tanaka, Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano, Duo Wang, Molla Md. Khademul Islam, “Statistical features in high-frequency bands of interictal intracranial electroencephalogram work efficiently in identifying the epileptic seizure onset zone,” Entropy 22, no. 12: 1415, 2020
• Molla, M.K.I.; Hassan, K.M.; Islam, M.R.; Tanaka, T. “Graph eigen decomposition-based feature-selection method for epileptic seizure detection using electroencephalography,” Sensors, August 2020, 20, 4639.
• T. Wada, K. Fukumori, T. Tanaka, and S. Fiori, “Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning,” PLoS ONE 15(8): e0237654, Aug. 2020
• Md. K. I. Molla, A. Al Shiam, Md. R. Islam, and T. Tanaka, “Discriminative feature selection based motor imagery classification using EEG signal,” IEEE Access, vol. 8, pp. 98255-98265, 2020
• Most. Sheuli Akter, Md. Rabiul Islam, Yasushi Iimura, Hidenori Sugano, Kosuke Fukumori, Duo Wang, Toshihisa Tanaka, Andrzej Cichocki, “Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG,” Scientific Reports.10.1 doi: https://doi.10.1038/s41598-020-62967-z
• A. Sakiyama, Y. Tanaka, T. Tanaka, and A. Ortega,”Eigendecomposition-free sampling set selection for graph signals,” IEEE Trans. on Signal Processing, 2019 67.10.2679-2692
• Md R. Islam, T. Tanaka, and Md K. I. Molla, “Multiband tangent space mapping and feature selection for classification of EEG during motor imagery,” Journal of Neural Engineering, vol. 15, issue 4, Aug. 2018
• Md K. I. Molla, N. Morikawa, Md R. Islam, and T. Tanaka, “Data-adaptive spatiotemporal ERP cleaning for single-trial BCI implementation,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1334-1344, July 2018
• Y. Zhang, E. Yin, F. Li, Y. Zhang, T. Tanaka, Q. Zhao, Y. Cui, P. Xu, D. Yao, D. Guo, “Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1314–1322, July 2018.
• Y. Zhang, D. Guo, F. Li, E. Yin, Y. Zhang, P. Li, Q. Zhao, T. Tanaka, D. Yao, and P. Xu,“Correlated component analysis for enhancing the performance of SSVEP-based brain-computer interface,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol. 26, no. 5, pp. 948-956, May 2018.