Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
A review of rapid serial visual presentation-based brain–computer interfaces
Rapid serial visual presentation (RSVP) combined with the detection of event-related brain
responses facilitates the selection of relevant information contained in a stream of images …
responses facilitates the selection of relevant information contained in a stream of images …
Spectral transfer learning using information geometry for a user-independent brain-computer interface
Recent advances in signal processing and machine learning techniques have enabled the
application of Brain-Computer Interface (BCI) technologies to fields such as medicine …
application of Brain-Computer Interface (BCI) technologies to fields such as medicine …
Improved neural signal classification in a rapid serial visual presentation task using active learning
The application space for brain-computer interface (BCI) technologies is rapidly expanding
with improvements in technology. However, most real-time BCIs require extensive …
with improvements in technology. However, most real-time BCIs require extensive …
RSVP-based BCI for inconspicuous targets: detection, localization, and modulation of attention
Q Zhou, Q Zhang, B Wang, Y Yang… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. While brain–computer interface (BCI) based on rapid serial visual presentation
(RSVP) is widely used in target detection, patterns of event-related potential (ERP), as well …
(RSVP) is widely used in target detection, patterns of event-related potential (ERP), as well …
Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces
The detection of event-related potentials (ERPs) in the electroencephalogram (EEG) signal
is a fundamental component in non-invasive brain-computer interface (BCI) research, and in …
is a fundamental component in non-invasive brain-computer interface (BCI) research, and in …
Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies
Significant achievements have been made in the fMRI field by pooling statistical results from
multiple studies (meta-analysis). More recently, fMRI standardization efforts have focused on …
multiple studies (meta-analysis). More recently, fMRI standardization efforts have focused on …
Speed of rapid serial visual presentation of pictures, numbers and words affects event-related potential-based detection accuracy
S Lees, P McCullagh, P Payne… - … on Neural Systems …, 2019 - ieeexplore.ieee.org
Rapid serial visual presentation (RSVP) based brain-computer interfaces (BCIs) can detect
target images among a continuous stream of rapidly presented images, by classifying a …
target images among a continuous stream of rapidly presented images, by classifying a …
Decoding P300 variability using convolutional neural networks
Deep convolutional neural networks (CNN) have previously been shown to be useful tools
for signal decoding and analysis in a variety of complex domains, such as image processing …
for signal decoding and analysis in a variety of complex domains, such as image processing …
Brain–computer interfaces for detection and localization of targets in aerial images
Objective. The N2pc event-related potential (ERP) appears on the opposite side of the scalp
with respect to the visual hemisphere where an object of interest is located. We explored the …
with respect to the visual hemisphere where an object of interest is located. We explored the …