A general framework for brain-computer interface design
By Steven G. Mason, Gary E. Birch. IEEE transactions on neural systems and rehabilitation engineering, 2003
359 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/6777d0f3b5b606f218437905346a9182712840cc
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
- Jonathan R. Wolpaw
- Niels Birbaumer
- Dennis J. McFarland
- Gerwin Schalk
- K. Müller
- Luis F. Nicolás-Alonso
- Jaime Gómez Gil
- Eric W. Sellers
In Cognitive Neuroscience
- Jonathan R. Wolpaw
- Niels Birbaumer
- K. Müller
- Dennis J. McFarland
- Gerwin Schalk
- Luis F. Nicolás-Alonso
- Jaime Gómez Gil
- Benjamin Blankertz
In Electrical and Electronic Engineering
- Jonathan R. Wolpaw
- Niels Birbaumer
- Dennis J. McFarland
- K. Müller
- Gerwin Schalk
- Luis F. Nicolás-Alonso
- Jaime Gómez Gil
- Charles Anderson
Citations in the corpus
- BCI2000: a general-purpose brain-computer interface (BCI) system (2004, methodology): “BCI2000 is based on a model that can describe any BCI system and that is similar to the one described in [17].”
- Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review (2020, positive): “Every BCI system essentially consists of five components: brain activity measurement, preprocessing, feature extraction, classification, and translation into a command (Mason and Birch, 2003).”
- Brain Computer Interfaces, a Review (2012, methodology): “[9], for example, proposed a new functional model for BCI systems and taxonomy design.”
- Linear and nonlinear methods for brain-computer interfaces (2003, methodology): “Simplified functional model of a BCI System adapted from [14].”