Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 54 checked references that resolve
resolves10.1038/srep16438Simultaneous measurement of electroencephalography and near-infrared spectroscopy during voluntary motor preparation
resolves10.1186/1743-0003-11-7Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials
resolves10.1109/TNSRE.2010.2040837Self-Paced Operation of an SSVEP-Based Orthosis With and Without an Imagery-Based “Brain Switch:” A Feasibility Study Towards a Hybrid BCI
resolves10.1016/j.clinph.2008.06.019Brain–computer interfaces and communication in paralysis: Extinction of goal directed thinking in completely paralysed patients?
resolves10.1038/srep36267Decoding of top-down cognitive processing for SSVEP-controlled BMI
resolves10.1038/srep36203Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic
resolves10.1109/JPROC.2015.2411333Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond
resolves10.1109/JPROC.2015.2413993Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain–Computer Interfaces
resolves10.1109/TBME.2016.2594127M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring
resolves10.1016/j.cortex.2014.01.008Beyond the N400: Complementary access to early neural correlates of novel metaphor comprehension using combined electrophysiological and haemodynamic measurements
resolves10.1109/TNSRE.2003.814453A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces
resolves10.1109/TBME.2004.826692The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
resolves10.1088/1741-2560/8/6/066004Towards a system-paced near-infrared spectroscopy brain–computer interface: differentiating prefrontal activity due to mental arithmetic and mental singing from the no-control state
resolves10.1088/1741-2560/7/2/026002Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy
resolves10.1117/1.JBO.19.7.077005Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces
resolves10.1016/j.jneumeth.2003.10.009EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
resolves10.1109/ICASSP.2008.4518361A fast approximate joint diagonalization algorithm using a criterion with a block diagonal weight matrix
resolves10.1016/j.neuroimage.2008.12.048Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: How well and when does it work?
The 8 references without a DOI — listed, not checked
no DOI — not checkedMakeig, S., Bell, A. J., Jung, T.-P. & Sejnowski, T. J. Independent component analysis of electroencephalographic data. Adv. Neural Inf. Process. Syst. 8, 145–151 (1996).
no DOI — not checkedEEG open access datasets. http://bnci-horizon-2020.eu/database/data-sets.
no DOI — not checkedPfurtscheller, G. et al. The hybrid BCI. Front. Neurosci. 4, 00003 (2010).
no DOI — not checkedAhn, S., Nguyen, T., Jang, H., Kim, J. G. & Jun, S. C. Exploring neuro-physiological correlates of drivers' mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data. Front. Hum. Neurosci. 10, 219 (2016).
no DOI — not checkedDornhege, G., Blankertz, B., Curio, G. & Müller, K.-R. in Advances in neural information processing systems 733–740 (MIT Press, 2004).
no DOI — not checkedZiehe, A. & Müller, K.-R. TDSEP -- an efficient algorithm for blind separation using time structure in Proc. 8th International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3321–3324 (Springer London, 2008).
no DOI — not checkedKollias, N. & Gratzer, W. Tabulated molar extinction coefficient for hemoglobin in water. http://omlc.org/spectra/hemoglobin/summary.html.
no DOI — not checkedBlankertz, B. et al. The Berlin brain-computer interface: Machine learning based detection of user specific brain states. J. Univers. Comput. Sci. 12, 581–607 (2006).
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