Two-dimensional movement control using electrocorticographic signals in humans

By Gerwin Schalk, Kai J. Miller, Nicholas R. Anderson, J. Adam Wilson, Matthew D. Smyth, Jeffrey G. Ojemann, Daniel W. Moran, Jonathan R. Wolpaw, Eric C. Leuthardt. Journal of Neural Engineering, 2008

524 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/65f9e43cf101f3a9accb3adc38285d5c3c28f31d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Jonathan R. Wolpaw
2. Dennis J. McFarland
3. Joseph N. F. Mak
4. William A. Sarnacki
5. Anton Nijholt
6. Niels Birbaumer
7. Eric W. Sellers
8. Gerwin Schalk

In Cognitive Neuroscience

1. Jonathan R. Wolpaw
2. Dennis J. McFarland
3. Joseph N. F. Mak
4. William A. Sarnacki
5. Anton Nijholt
6. Marcel A. J. van Gerven
7. Siddhartha S. Srinivasa
8. Kenton C. T. Lee

In Electrical and Electronic Engineering

1. Jonathan R. Wolpaw
2. Dennis J. McFarland
3. William A. Sarnacki
4. Joseph N. F. Mak
5. Niels Birbaumer
6. Gert Pfurtscheller
7. Brendan Z. Allison
8. Eric W. Sellers

Citations in the corpus

• Could Anyone Use a BCI? (2010, unknown): “Schalk et al. 2008; Blakely et al. 2009) and might also work when other methods do not.”
• Teleoperation with intelligent and customizable interfaces (2013, background): “…hypothesis is that users can be trained to provide input that increases prediction performance – users naturally get better at using interfaces, be it search systems(C. L. Smith & Kantor, 2008), sensory rearrangement(Biocca & Rolland, 1998), or brain-computer interfaces(Schalk et al., 2008).”
• Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, methodology): “array of ECoG electrodes to localize critical cortical functions [16], [20], [34], [35].”
• Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives (2014, unknown): “, [15], [17], [22], [23], and [25]–[27]).”
• Bridging the brain to the world: a perspective on neural interface systems. (2008, unknown): “Using ECoG-based SMR modulation, 2D cursor control was in about the same range, but impressively, learning could be achieved within a single session ( Schalk et al., 2008 ).”
• 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).”
• The brain–computer interface cycle (2009, methodology): “Invasive methods, such as the electro-corticogram (ECoG), have a superior signalto-noise ratio and allow a much better detection of highfrequency oscillatory activity [34–37].”
• High performance communication by people with paralysis using an intracortical brain-computer interface (2017, unknown): “…based on electroencephalography ( Wolpaw et al., 1998 ; Hwang et al., 2012 ; Spu¨ler et al., 2012 ), electrocorticography ( Leuthardt et al., 2004 ; Schalk et al., 2008 ; Moran, 2010 ; Brunner et al., 2011 ; Wang et al., 2013 ), and intracortical electrical signals ( Serruya et al., 2002 ; Taylor…”
• EEG-Based Brain-Computer Interfaces (2017, methodology): “BCI methods that use epidural or subdural electrodes [33] or intracortical microelectrodes [34] offer more secure placement and better spatial resolution than EEG.”