Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

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http://doi.ieeecomputersociety.org/10.1109/MC.2008.431

October 2008 (vol. 41 no. 10) pp. 34-42

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	Andrzej Cichocki, Yoshikazu Washizawa, Tomasz Rutkowski, Hovagim Bakardjian, Anh-Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li, "Noninvasive BCIs: Multiway Signal-Processing Array Decompositions," Computer, vol. 41, no. 10, pp. 34-42, October, 2008.

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	@article{ 10.1109/MC.2008.431, author = {Andrzej Cichocki and Yoshikazu Washizawa and Tomasz Rutkowski and Hovagim Bakardjian and Anh-Huy Phan and Seungjin Choi and Hyekyoung Lee and Qibin Zhao and Liqing Zhang and Yuanqing Li}, title = {Noninvasive BCIs: Multiway Signal-Processing Array Decompositions}, journal ={Computer}, volume = {41}, number = {10}, issn = {0018-9162}, year = {2008}, pages = {34-42}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2008.431}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

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	TY - MGZN JO - Computer TI - Noninvasive BCIs: Multiway Signal-Processing Array Decompositions IS - 10 SN - 0018-9162 SP34 EP42 EPD - 34-42 A1 - Andrzej Cichocki, A1 - Yoshikazu Washizawa, A1 - Tomasz Rutkowski, A1 - Hovagim Bakardjian, A1 - Anh-Huy Phan, A1 - Seungjin Choi, A1 - Hyekyoung Lee, A1 - Qibin Zhao, A1 - Liqing Zhang, A1 - Yuanqing Li, PY - 2008 KW - brain-computer interfaces KW - neuroscience paradigms KW - Tucker model KW - PARAFAC model VL - 41 JA - Computer ER -

Andrzej Cichocki, RIKEN Brain Science Institute

Yoshikazu Washizawa, RIKEN Brain Science Institute

Tomasz Rutkowski, RIKEN Brain Science Institute

Hovagim Bakardjian, RIKEN Brain Science Institute

Anh-Huy Phan, RIKEN Brain Science Institute

Seungjin Choi, Pohang University of Science and Technology

Hyekyoung Lee, Pohang University of Science and Technology

Qibin Zhao, Shanghai Jiao Tong University

Liqing Zhang, Shanghai Jiao Tong University

Yuanqing Li, South China University of Technology

In addition to helping better understand how the human brain works, the brain-computer interface neuroscience paradigm allows researchers to develop a new class of bioengineering control devices and robots, offering promise for rehabilitation and other medical applications as well as exploring possibilities for advanced human-computer interfaces.

Index Terms:

brain-computer interfaces, neuroscience paradigms, Tucker model, PARAFAC model

Citation:

Andrzej Cichocki, Yoshikazu Washizawa, Tomasz Rutkowski, Hovagim Bakardjian, Anh-Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li, "Noninvasive BCIs: Multiway Signal-Processing Array Decompositions," Computer, vol. 41, no. 10, pp. 34-42, Oct. 2008, doi:10.1109/MC.2008.431

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