@article {3132,
	title = {An auditory brain-computer interface (BCI).},
	journal = {Journal of neuroscience methods},
	volume = {167},
	year = {2008},
	month = {01/2008},
	pages = {43{\textendash}50},
	abstract = {Brain-computer interfaces (BCIs) translate brain activity into signals controlling external devices. BCIs based on visual stimuli can maintain communication in severely paralyzed patients, but only if intact vision is available. Debilitating neurological disorders however, may lead to loss of intact vision. The current study explores the feasibility of an auditory BCI. Sixteen healthy volunteers participated in three training sessions consisting of 30 2-3 min runs in which they learned to increase or decrease the amplitude of sensorimotor rhythms (SMR) of the EEG. Half of the participants were presented with visual and half with auditory feedback. Mood and motivation were assessed prior to each session. Although BCI performance in the visual feedback group was superior to the auditory feedback group there was no difference in performance at the end of the third session. Participants in the auditory feedback group learned slower, but four out of eight reached an accuracy of over 70\% correct in the last session comparable to the visual feedback group. Decreasing performance of some participants in the visual feedback group is related to mood and motivation. We conclude that with sufficient training time an auditory BCI may be as efficient as a visual BCI. Mood and motivation play a role in learning to use a BCI.},
	keywords = {auditory feedback, brain-computer interface, EEG, locked-in state, motivation, sensorimotor rhythm},
	issn = {0165-0270},
	doi = {10.1016/j.jneumeth.2007.02.009},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/17399797},
	author = {Nijboer, Femke and Adrian Furdea and Gunst, Ingo and Mellinger, J{\"u}rgen and Dennis J. McFarland and Niels Birbaumer and K{\"u}bler, Andrea}
}
@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.}
}
