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ACKNOWLEDGEMENTS This paper draws on discussions with Keith Pavitt, as part of an email correspondence during fall 2002. I am grateful for comments from the editors and reviewers, and from Introduction Among Keith Pavitt's many contributions to the study of innovation is the proposition that physical proximity is advantageous for innovative activities that(More)
1. Introduction This chapter will propose a new paradigm for single-trial-electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) with motor imagery (MI) [1] tasks. Among such BCIs, the sensorimotor rhythm (SMR)-based ones, when using common spatial patterns (CSPs), require features over broad frequency bands, such as mu, beta and gamma rhythms(More)
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