Issue No. 10 - October (2008 vol. 41)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2008.431
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
H. Lee et al., "Noninvasive BCIs: Multiway Signal-Processing Array Decompositions," in Computer, vol. 41, no. , pp. 34-42, 2008.