Brain-computer interface technology: a review of the first international meeting.

By Jonathan R. Wolpaw, Niels Birbaumer, W. J. Heetderks, Dennis J. McFarland, P. Peckham, Gerwin Schalk, Emanuel Donchin, L. Quatrano, C. Robinson, Theresa M. Vaughan. IEEE transactions on rehabilitation engineering, 2000

2,286 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c263dfdce0a38362717fa4139880103f67dcc6d1

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Electrical and Electronic Engineering

Citations in the corpus

EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy (2019, background): “A brain-computer interface (BCI) allows users to control an external device by decoding their brain activity [1].”
A general framework for brain-computer interface design (2003, background): “national Meeting of Brain–Computer Interface Technology [2].”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “A BCI is defined as a system that measures and analyzes brain signals and converts them in real time into outputs that do not depend on the normal output pathways of peripheral nerves and muscles [23].”
A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control (2013, methodology): “Specifically, the ITR is calculated as shown as follows [36]:”
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).”
Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery (2011, result): “[34] J.”
Brain–Computer Interface Spellers: A Review (2018, methodology): “The commonly used ITR was introduced by Wolpaw in [9], originally presented much earlier, as discussed in [10].”
Fundamentals of physiological computing (2009, methodology): “The strategy employed by physiological computing technology has been described as 'wiretapping' (Wolpaw et al., 2000).”
The Berlin brain-computer interface: EEG-based communication without subject training (2006, methodology): “According to the definition put forth at the first international meeting for BCI technology in 1999, a BCI “must not depend on the brain’s normal output pathways of peripheral nerves and muscles” [2].”