Could Anyone Use a BCI?

By Brendan Z. Allison, Christa Neuper. Brain-Computer Interfaces, 2010

378 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3a09bf5ab8e5d6ec2634934f88b55cd70b186262

How researchers see this paper

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

In Cognitive Neuroscience

1. Fabien Lotte
2. Christian Mühl
3. Florian Larrue
4. Dongrui Wu
5. Cuntai Guan

In Human-Computer Interaction

1. Christian Mühl
2. Florian Larrue
3. Fabien Lotte

Citations in the corpus

• EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy (2019, neutral): “Previous studies have primarily reported the problem of BCI illiteracy with respect to the MI paradigm [21,34,35] or, when examined across multiple paradigms, only with small subject groups (less than five) [36].”
• Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design (2013, background): “In Neuper et al. (2003), they also explored a free training session, in which the BCI user could explore the mental imagery task as he liked, without instructions from the computer.”
• Enhancing Motor Imagery Performance by Antiphasic 10 Hz Transcranial Alternating Current Stimulation (2023, background): “There are large inter-individual differences in MI performance, not all individuals can elicit sufficiently pronounced ERD, which impedes the widespread application of MI-BCI [8].”