@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} } @inbook {2248, title = {Using BCI2000 in BCI Research.}, booktitle = {Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction}, series = {The Frontiers Collection}, year = {2010}, pages = {259-280}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, abstract = {

BCI2000 is a general-purpose system for brain{\textendash}computer interface (BCI) research. It can also be used for data acquisition, stimulus presentation, and brain monitoring applications [18,27]. The mission of the BCI2000 project is to facilitate research and applications in these areas. BCI2000 has been in development since 2000 in a collaboration between the Wadsworth Center of the New York State Department of Health in Albany, New York, and the Institute of Medical Psychology and Behavioral Neurobiology at the University of T{\"u}bingen, Germany. Many other individuals at different institutions world-wide have contributed to this project.

}, issn = {978-3642020902}, url = {http://dx.doi.org/10.1007/978-3-642-02091-9_15}, author = {Mellinger, J{\"u}rgen and Gerwin Schalk}, editor = {Graimann, Bernhard and Pfurtscheller, Gert and Brendan Z. Allison} } @article {2184, title = {Towards an independent brain-computer interface using steady state visual evoked potentials.}, journal = {Clin Neurophysiol}, volume = {119}, year = {2008}, month = {02/2008}, pages = {399-408}, abstract = {

OBJECTIVE:\ 

Brain-computer interface (BCI) systems using steady state visual evoked potentials (SSVEPs) have allowed healthy subjects to communicate. However, these systems may not work in severely disabled users because they may depend on gaze shifting. This study evaluates the hypothesis that overlapping stimuli can evoke changes in SSVEP activity sufficient to control a BCI. This would provide evidence that SSVEP BCIs could be used without shifting gaze.

METHODS:\ 

Subjects viewed a display containing two images that each oscillated at a different frequency. Different conditions used overlapping or non-overlapping images to explore dependence on gaze function. Subjects were asked to direct attention to one or the other of these images during each of 12 one-minute runs.

RESULTS:\ 

Half of the subjects produced differences in SSVEP activity elicited by overlapping stimuli that could support BCI control. In all remaining users, differences did exist at corresponding frequencies but were not strong enough to allow effective control.

CONCLUSIONS:\ 

The\ data\ demonstrate that SSVEP differences sufficient for BCI control may be elicited by selective attention to one of two overlapping stimuli. Thus, some SSVEP-based BCI approaches may not depend on gaze control. The nature and extent of any BCI{\textquoteright}s dependence on muscle activity is a function of many factors, including the display, task, environment, and user.

SIGNIFICANCE:\ 

SSVEP BCIs might function in severely disabled users unable to reliably control gaze. Further research with these users is necessary to explore the optimal parameters of such a system and validate online performance in a home environment.

}, keywords = {Adolescent, Adult, Attention, Brain, Brain Mapping, Dose-Response Relationship, Radiation, Electroencephalography, Evoked Potentials, Visual, Female, Humans, Male, Pattern Recognition, Visual, Photic Stimulation, Spectrum Analysis, User-Computer Interface}, issn = {1388-2457}, doi = {10.1016/j.clinph.2007.09.121}, url = {http://www.ncbi.nlm.nih.gov/pubmed/18077208}, author = {Brendan Z. Allison and Dennis J. McFarland and Gerwin Schalk and Zheng, Shi Dong and Moore-Jackson, Melody and Jonathan Wolpaw} } @article {3207, title = {Brain-computer interface systems: progress and prospects.}, journal = {Expert review of medical devices}, volume = {4}, year = {2007}, month = {07/2007}, pages = {463{\textendash}474}, abstract = {Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review discusses the structure and functions of BCI systems, clarifies terminology and addresses practical applications. Progress and opportunities in the field are also identified and explicated.}, keywords = {ALS, assistive communication, BCI, BMI, brain-acuated control, brain-computer interface, brain-machine interface, EEG, ERP, locked-in syndrome, slow cortical potential, SSVEP, Stroke}, issn = {1743-4440}, doi = {10.1586/17434440.4.4.463}, url = {http://www.ncbi.nlm.nih.gov/pubmed/17605682}, author = {Brendan Z. Allison and Wolpaw, Elizabeth Winter and Jonathan Wolpaw} } @article {3216, title = {BCI Meeting 2005{\textendash}workshop on signals and recording methods.}, journal = {IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society}, volume = {14}, year = {2006}, month = {06/2006}, pages = {138{\textendash}141}, abstract = {This paper describes the highlights of presentations and discussions during the Third International BCI Meeting in a workshop that evaluated potential brain-computer interface (BCI) signals and currently available recording methods. It defined the main potential user populations and their needs, addressed the relative advantages and disadvantages of noninvasive and implanted (i.e., invasive) methodologies, considered ethical issues, and focused on the challenges involved in translating BCI systems from the laboratory to widespread clinical use. The workshop stressed the critical importance of developing useful applications that establish the practical value of BCI technology.}, keywords = {Brain-computer interface (BCI), electrophysiological signals, Rehabilitation}, issn = {1534-4320}, doi = {10.1109/TNSRE.2006.875583}, url = {http://www.ncbi.nlm.nih.gov/pubmed/16792279}, author = {Jonathan Wolpaw and Loeb, Gerald E. and Brendan Z. Allison and Emanuel Donchin and do Nascimento, Omar Feix and Heetderks, William J. and Nijboer, Femke and Shain, William G. and Turner, James N.} }