@article {3425,
	title = {The Plurality of Human Brain-Computer Interfacing.},
	journal = {Proceedings of the IEEE},
	year = {2015},
	month = {06/2015},
	pages = {868-870},
	abstract = {The articles in this special issue focus on brain-computer interfacing. The papers are dedicated to this growing and diversifying research enterprise, and features important review articles as well as some important current examples of research in this area. The field of brain-computer interface (BCI) research began to develop about 25 years ago and transformed from initially isolated demonstrations by a few groups into a large scientific enterprise that is currently producing hundreds of peer-reviewed articles and several dedicated conferences and workshops each year. This level of productivity is reflective of the large and continually growing enthusiasm by the scientific community, funding agencies, and the public.},
	keywords = {Brain-computer interface (BCI)},
	issn = {0018-9219},
	doi = {10.1109/JPROC.2015.2425835},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7115302},
	author = {Mueller-Putz, G. and Mill{\'a}n, Jos{\'e} del R and Gerwin Schalk and Mueller, K.R.}
}
@article {2541,
	title = {Review of the BCI Competition IV.},
	journal = {Frontiers in Neuroprosthetics},
	volume = {6},
	year = {2012},
	month = {07/2012},
	pages = {1-31},
	abstract = {The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide high quality neuroscientific data for open access to the scientific community. As experienced already in prior competitions not only scientists from the narrow field of BCI compete, but scholars with a broad variety of backgrounds and nationalities. They include high specialists as well as students. The goals of all BCI competitions have always been to challenge with respect to novel paradigms and complex data. We report on the following challenges: (1) asynchronous data, (2) synthetic, (3) multi-class continuous data, (4) session-to-session transfer, (5) directionally modulated MEG, (6) finger movements recorded by ECoG. As after past competitions, our hope is that winning entries may enhance the analysis methods of future BCIs.},
	keywords = {BCI, brain-computer interface, competition},
	doi = {10.3389/fnins.2012.00055},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/22811657},
	author = {Tangermann, M. and Muller, K.R. and Aertsen, A. and Niels Birbaumer and Christoph Braun and Brunner, Clemens and Leeb, R. and Mehring, C. and Miller, K.J. and Mueller-Putz, G. and Nolte, G. and Pfurtscheller, G. and Preissl, H. and Gerwin Schalk and Schl{\"o}gl, A. and Vidaurre, C. and Waldert, S. and Benjamin Blankertz}
}
