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Issue No.10 - October (2008 vol.41)
pp: 34-42
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.
brain-computer interfaces, neuroscience paradigms, Tucker model, PARAFAC model
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, doi:10.1109/MC.2008.431
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18. A. Cichocki, A.H. Phan, and C. Caiafa, "Flexible HALS Algorithms for Sparse Non-Negative Matrix/Tensor Factorization," Machine Learning for Signal Processing, to be published in 2008.
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