A Comprehensive Survey of Brain Interface Technology Designs
By Steven G. Mason, Ali Bashashati, Mehrdad Fatourechi, Karla Felix Navarro, Gary E. Birch. Annals of Biomedical Engineering, 2007
322 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/9ec894977136f1567831d15540489f3206226917
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
- Brendan Z. Allison
- Xiaorong Gao
- Gert Pfurtscheller
- Shangkai Gao
- Christa Neuper
- Bo Hong
- Eric W. Sellers
- Bernhard Graimann
In Cognitive Neuroscience
- Brendan Z. Allison
- Gert Pfurtscheller
- Christa Neuper
- Xiaorong Gao
- Shangkai Gao
- Bo Hong
- Andrea Kübler
- Eric W. Sellers
Citations in the corpus
- P300 brain computer interface: current challenges and emerging trends (2012, methodology): “On the other hand, MI or SSVEP BCIs may be inherently better suited to continuous movement control, as discussed below (Jackson et al., 2006; Mason et al., 2007).”
- Multitask Learning for Brain-Computer Interfaces (2010, background): “For example, haptic motor imagery, currently the most popular paradigm in research on non-invasive BCIs (Mason et al., 2007), typically induces a decrease in power, termed event-related desynchronization (ERD), of the µ- (roughly 10 − 14 Hz) and β-rhythms (roughly 20 − 30 Hz) over contralateral…”
- Toward a hybrid brain–computer interface based on imagined movement and visual attention (2010, unknown): “sensors, which do not require surgery [1].”
- Brain-Computer Interfaces Based on Visual Evoked Potentials (2008, methodology): “According to the survey made by Mason et al., existing BCI systems could be divided into three classes: transducers, demo systems, and assistive devices [19].”
- Could Anyone Use a BCI? (2010, background): “This article focuses primarily on EEG-based BCIs, since over 80% of BCIs rely on the EEG (Mason et al. 2007).”
- Brain-Computer Interfaces: A Gentle Introduction (2009, methodology): “Depending on the mental strategy and on the brain patterns used, some BCIs are more suitable for providing discrete output values, while others are more suitable for allowing proportional control [32].”
- BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? (2010, methodology): “to learn about individual differences nor personal preferences [4], [19].”