@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 {3199,
	title = {A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.},
	journal = {Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology},
	volume = {119},
	year = {2008},
	month = {08/2008},
	pages = {1909{\textendash}1916},
	abstract = {OBJECTIVE:
The current study evaluates the efficacy of a P300-based brain-computer interface (BCI) communication device for individuals with advanced ALS.
METHODS:
Participants attended to one cell of a N x N matrix while the N rows and N columns flashed randomly. Each cell of the matrix contained one character. Every flash of an attended character served as a rare event in an oddball sequence and elicited a P300 response. Classification coefficients derived using a stepwise linear discriminant function were applied to the data after each set of flashes. The character receiving the highest discriminant score was presented as feedback.
RESULTS:
In Phase I, six participants used a 6 x 6 matrix on 12 separate days with a mean rate of 1.2 selections/min and mean online and offline accuracies of 62\% and 82\%, respectively. In Phase II, four participants used either a 6 x 6 or a 7 x 7 matrix to produce novel and spontaneous statements with a mean online rate of 2.1 selections/min and online accuracy of 79\%. The amplitude and latency of the P300 remained stable over 40 weeks.
CONCLUSIONS:
Participants could communicate with the P300-based BCI and performance was stable over many months.
SIGNIFICANCE:
BCIs could provide an alternative communication and control technology in the daily lives of people severely disabled by ALS.},
	keywords = {Amyotrophic Lateral Sclerosis, brain-computer interface, electroencephalogram, event-related potentials, P300, Rehabilitation},
	issn = {1388-2457},
	doi = {10.1016/j.clinph.2008.03.034},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/18571984},
	author = {Nijboer, F. and Sellers, E. W. and Mellinger, J. and Jordan, M. A. and Matuz, T. and Adrian Furdea and S Halder and Mochty, U. and Krusienski, D. J. and Theresa M Vaughan and Jonathan Wolpaw and Niels Birbaumer and K{\"u}bler, A.}
}
@article {3220,
	title = {Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.},
	journal = {Neurology},
	volume = {64},
	year = {2005},
	month = {05/2005},
	pages = {1775{\textendash}1777},
	abstract = {People with severe motor disabilities can maintain an acceptable quality of life if they can communicate. Brain-computer interfaces (BCIs), which do not depend on muscle control, can provide communication. Four people severely disabled by ALS learned to operate a BCI with EEG rhythms recorded over sensorimotor cortex. These results suggest that a sensorimotor rhythm-based BCI could help maintain quality of life for people with ALS.},
	keywords = {User-Computer Interface},
	issn = {1526-632X},
	doi = {10.1212/01.WNL.0000158616.43002.6D},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/15911809},
	author = {K{\"u}bler, A. and Nijboer, F. and Mellinger, J. and Theresa M Vaughan and Pawelzik, H. and Gerwin Schalk and Dennis J. McFarland and Niels Birbaumer and Jonathan Wolpaw}
}
