Brain-Computer Interfaces for Communication and Control

By Dennis J. McFarland, Jonathan R. Wolpaw. Communications of the ACM, 2011

2,862 citations recorded by the source corpus.

The brain's electrical signals enable people without muscle control to physically interact with the world.

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

View Paper: https://www.semanticscholar.org/paper/1ee9f3caf3644668b5e18af20a021770545770c1

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. Oskar C. Aszmann
2. Dario Farina
3. Ales Holobar
4. Bernhard Graimann
5. Hubertus Rehbaum
6. Ning Jiang
7. Hans Dietl

In Cognitive Neuroscience

1. Ales Holobar
2. Oskar C. Aszmann
3. Dario Farina
4. Bernhard Graimann
5. Hubertus Rehbaum
6. Ning Jiang
7. Hans Dietl

In Electrical and Electronic Engineering

1. Bernhard Graimann

Citations in the corpus

• Event-related (De)synchronization (ERD/ERS) during motor imagery tasks: Implications for brain–computer interfaces (2011, background): “As a non-muscular communication and control system (Wolpaw et al., 2002; Morash et al., 2008; Nam et al., 2009; Blankertz et al., 2010), brainecomputer interface (BCI) has shown emerging possibilities for people who have lost all voluntary muscle control, but are cognitively intact, by allowing…”
• The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (2014, background): “When the neuromuscular system is probed for information extraction, the interfacing can be realized at the level of the brain and other supraspinal areas [1]–[3], peripheral nerves [4]–[6], or muscles [7], [8].”