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Electroencephalogram (EEG) is a measurable window looking into brain dynamics. Brain activities may exhibit different representations while executing different cognitive tasks, which can be recognized by decoding EEG. This is crucial for constructing a brain–computer interface (BCI), which directly bridges between the human brain and external experiments or devices for communication or function restoration...
How to capture biologically important conformational transitions from structures have been of key interest in computational biology. It is generally recognized that normal modes derived from structure-based potentials can well represent functional movements in lots of biomolecules. Recently normal mode analysis was successfully used in an iterative manner to explore protein conformational transition...
The common spatial patterns (CSP) algorithm has been widely used in EEG classification and brain computer interface (BCI). In this paper, we propose a multilinear formulation of the CSP, termed as TensorCSP or common tensor discriminant analysis (CTDA) for high-order tensor data. As a natural extension of CSP, the proposed algorithm uses the analogous optimization criteria in CSP and a new framework...
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