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Real-time brain-machine interface architectures: neural decoding from plan to movement.. Massachusetts Institute of Technology, Cambridge, MA, USA, (2011)ndltd.org (oai:dspace.mit.edu:1721.1/69773).A generalizable adaptive brain-machine interface design for control of anesthesia., and . EMBC, page 1099-1102. IEEE, (2015)A Brain-Machine Interface for Control of Medically-Induced Coma., , , , and . PLoS Comput. Biol., (2013)A framework for identification of brain network dynamics using a novel binary noise modulated electrical stimulation pattern., and . EMBC, page 2087-2090. IEEE, (2015)Multiscale decoding for reliable brain-machine interface performance over time., , , and . EMBC, page 197-200. IEEE, (2017)On the importance of phase in human speech recognition., , and . IEEE Trans. Speech Audio Process., 14 (5): 1867-1874 (2006)Time-invariant rateless codes for MIMO channels., , , and . ISIT, page 2247-2251. IEEE, (2008)Optimal calibration of the learning rate in closed-loop adaptive brain-machine interfaces., and . EMBC, page 1667-1670. IEEE, (2015)Comparison of Practical Feedback Algorithms for Multiuser MIMO., , and . VTC Spring, IEEE, (2009)Rateless Codes for MIMO Channels., , and . GLOBECOM, page 3628-3632. IEEE, (2008)