A brain–computer interface using electrocorticographic signals in humans

By Eric C. Leuthardt, Gerwin Schalk, Jonathan R. Wolpaw, Jeffrey G. Ojemann, Daniel W. Moran. Journal of Neural Engineering, 2004

1,248 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/9a390f1729d9a22f0121b7c9e05333aa8ddba23c

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Citations in the corpus

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, methodology): “For example, as illustrated in FIGURE 5A, large variety of brain signals, ranging from single units (114, 124, 466, 583, 852), to local field potentials (LFPs) (264, 670, 750), electrocorticography (ECoG) (483, 484, 697, 759, 837, 839, 856), electroencephalography (EEG) (7, 71, 141, 169, 358, 412, 6”
Two-dimensional movement control using electrocorticographic signals in humans (2008, background): “Subjects typically acquired accurate one-dimensional control rapidly as previously reported [18–21].”
Signal quality of simultaneously recorded invasive and non-invasive EEG (2009, background): “emphasized is that it is less susceptible to artifact contamination (Ball et al., 2004; Canolty et al., 2007; Engel et al., 2005; Lachaux et al., 2003; Leuthardt et al., 2004; Schalk et al., 2007).”
Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (2010, background): “Note, however, that most of the principles we put forward here can also be applied to other types of BCI, either invasive (single-unit activity [25, 69], electrocorticogram [102, 151]) or non-invasive (MEG [81, 111], fMRI [200, 209],”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “array of ECoG electrodes to localize critical cortical functions [16], [20], [34], [35].”
Brain-Computer Interfaces for Communication and Control (2011, neutral): “12 Other studies have shown that recordings of electrocorticographic (ECoG) activity from the surface of the brain can also provide signals for a BCI 15 ; to date they indicate that invasive recording methods can also serve as the basis for BCIs.”
An implantable wireless neural interface for recording cortical circuit dynamics in moving primates (2013, background): “control from subdural grids [3, 37] inspired our design of”
ELECTROENCEPHALOGRAPHIC (EEG) CONTROL OF THREE-DIMENSIONAL MOVEMENT (2010, background): “…or two dimensions (Wolpaw et al 1991, 2002, Chapin et al 1999, Fetz 1999, Serruya et al 2002, Taylor et al 2002, Carmena et al 2003, Andersen et al 2004, Wolpaw and McFarland 1994, 2004, Leuthardt et al 2004, Hochberg et al 2006, Schalk et al 2008, Velliste et al 2008, Ganguly and Carmena 2009).”