@inbook {2864,
	title = {BCI Software Platforms.},
	booktitle = {Towards Practical Brain-Computer Interfaces},
	year = {2013},
	publisher = {Biological and Medical Physics},
	organization = {Biological and Medical Physics},
	abstract = {In this chapter, we provide an overview of publicly available software platforms for brain{\textendash}computer interfaces. We have identified seven major BCI platforms and one platform specifically targeted towards feedback and stimulus presentation. We describe the intended target user group (which includes researchers, programmers, and end users), the most important features of each platform such as availability on different operating systems, licences, programming languages involved, supported devices, and so on. These seven platforms are: (1) BCI2000, (2) OpenViBE, (3) TOBI Common Implementation Platform (CIP), (4) BCILAB, (5) BCI++, (6) xBCI, and (7) BF++. The feedback framework is called Pyff. Our conclusion discusses possible synergies and future developments, such as combining different components of different platforms. With this overview, we hope to identify the strengths and weaknesses of each available platform, which should help anyone in the BCI research field in their decision which platform to use for their specific purposes.},
	isbn = {978-3-642-29745-8},
	doi = {DOI: 10.1007/978-3-642-29746-5},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-29746-5_16},
	author = {Brunner, Clemens and Andreoni, G and Bianchi, L and Benjamin Blankertz and Breitwieser, C. and Kanoh, S. and Kothe, C. A. and Lecuyer, A. and Makeig, S and Mellinger, J. and Perego, P. and Renard, Y. and Gerwin Schalk and Susila, I.P. and Venthur, B and Mueller-Putz, G.R. and Brendan Z. Allison and Dunne, S. and Leeb, R. and Del R. Mill{\'a}n, J. and A. Nijholt}
}
@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}
}
