Brain-computer interface technology: a review of the Second International Meeting.

By Theresa M. Vaughan, W. J. Heetderks, L. Trejo, W. Z. Rymer, M. Weinrich, M.M. Moore, Andrea Kübler, Bruce H. Dobkin, N. Birbaumer, E. Donchin and 2 more. IEEE transactions on neural systems and rehabilitation engineering, 2003

416 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c7a146b7317f1befab39cf432044f8f2ce01221d

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Citations in the corpus

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, background): “clinical practice by Niels Birbaumer (71), have undergone a considerable expansion (14, 74, 246, 358, 815, 863).”
On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces. (2004, unknown): “Although the time-course of the signal is much smaller, 300 ms, compared to the optical signal, 5.8 ± 0.3 s (Keenan et al 2002), the latter technique requires considerable averaging (Vaughan 2003).”
Response of brain tissue to chronically implanted neural electrodes. (2005, background): “…significant potential to provide control signals for neuroprosthetic devices ranging from motor control in paralyzed patients to restoring sensory function in the auditory and visual systems (Kennedy and Bakay, 1998; Donoghue, 2002; Serruya et al., 2002; Taylor et al., 2002; Vaughan et al., 2003).”
An improved P300-based brain-computer interface (2005, background): “national meeting devoted to BCI [21], [36], requires a measure to evaluate all BCIs on a common basis.”
EMG and EOG artifacts in brain computer interface systems: A survey. (2007, background): “For example, applications of BCI systems based on functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) are currently limited, as such systems are large, expensive, and require a magnetically shielded environment (Vaughan and Heetderks et al. ,2003).”