Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
Brain-computer interfaces (BCIs) have attracted considerable attention in motor and
language rehabilitation. Most devices use cap-based non-invasive, headband-based …
language rehabilitation. Most devices use cap-based non-invasive, headband-based …
EEG based emotion recognition by combining functional connectivity network and local activations
Objective: Spectral power analysis plays a predominant role in electroencephalogram-
based emotional recognition. It can reflect activity differences among multiple brain regions …
based emotional recognition. It can reflect activity differences among multiple brain regions …
Neurofeedback therapy for enhancing visual attention: state-of-the-art and challenges
M Ordikhani-Seyedlar, MA Lebedev… - Frontiers in …, 2016 - frontiersin.org
We have witnessed a rapid development of brain-computer interfaces (BCIs) linking the
brain to external devices. BCIs can be utilized to treat neurological conditions and even to …
brain to external devices. BCIs can be utilized to treat neurological conditions and even to …
ST-SCGNN: a spatio-temporal self-constructing graph neural network for cross-subject EEG-based emotion recognition and consciousness detection
In this paper, a novel spatio-temporal self-constructing graph neural network (ST-SCGNN) is
proposed for cross-subject emotion recognition and consciousness detection. For spatio …
proposed for cross-subject emotion recognition and consciousness detection. For spatio …
Improved SFFS method for channel selection in motor imagery based BCI
Background Multichannels used in brain–computer interface (BCI) systems contain
redundant information and cause inconvenience for practical application. Channel selection …
redundant information and cause inconvenience for practical application. Channel selection …
A survey of brain network analysis by electroencephalographic signals
Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …
differentiate the alterations from comparative networks. The alterations account for time …
[HTML][HTML] Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation
Neural processing of dynamic continuous visual input, and cognitive influences thereon, are
frequently studied in paradigms employing strictly rhythmic stimulation. However, the …
frequently studied in paradigms employing strictly rhythmic stimulation. However, the …
Different contexts in the oddball paradigm induce distinct brain networks in generating the P300
Despite the P300 event-related potential (ERP) differences between distinct stimulus
sequences, the effect of stimulus sequence on the brain network is still left unveiled. To …
sequences, the effect of stimulus sequence on the brain network is still left unveiled. To …
The dynamics of reading complex words: evidence from steady-state visual evoked potentials
The present study used steady-state visual evoked potentials (SSVEPs) to examine the
spatio-temporal dynamics of reading morphologically complex words and test the …
spatio-temporal dynamics of reading morphologically complex words and test the …
EEG emotion recognition based on data-driven signal auto-segmentation and feature fusion
Pattern recognition based on network connections has recently been applied to the brain-
computer interface (BCI) research, offering new ideas for emotion recognition using …
computer interface (BCI) research, offering new ideas for emotion recognition using …