-
Article
Long-range and cross-frequency neural modulation of gamma flicker on vigilance decrement
Vigilance decrement is a ubiquitous problem in attention-demanding tasks. Therefore, it is significant to develop neuromodulation methods to mitigate the negative neural effect of vigilance decrement. As one o...
-
Article
Detection of dynamic changes of electrodermal activity to predict the classroom performance of college students
It is emphasized in the Self-regulated learning (SRL) framework that self-monitoring of learning state is vital for students to keep effective in studying. However, it’s still challenging to get an accurate an...
-
Chapter and Conference Paper
Virtual Reality Game-Based Adaptive Neurofeedback Training for Motor Imagery
Motor imagery-based brain-computer interfaces (MI-BCIs) are promising tools for motor rehabilitation applications. However, neurofeedback training (NFT) of traditional MI is boring and takes a long time. This ...
-
Chapter and Conference Paper
A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI
Brain-computer interface (BCI), a direct communication system between the human brain and external environment, can provide assistance for people with disabilities. Vigilance is an important cognitive state an...
-
Chapter and Conference Paper
Optimization of Stimulus Color for SSVEP-Based Brain-Computer Interfaces in Mixed Reality
Visual Brain-Computer Interfaces (BCIs) often use LCDs or LEDs to present flickering stimuli, which limits its application scenarios. Mixed reality head-mounted displays (MRHMDs) have the potential of improvin...
-
Chapter and Conference Paper
A BCI Speller with 120 Commands Encoded by Hybrid P300 and SSVEP Features
Implementing higher speed and larger command sets for brain-computer interfaces (BCIs) has always been the pursuit of researchers, which is helpful to realize the technological applications. The hybrid BCIs jo...
-
Article
Correction to: Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A correction to this paper has been published: https://doi.org/10.1007/s11571-021-09686-x
-
Article
EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and clinical application
Stroke is one of the most serious diseases that threaten human life and health. It is a major cause of death and disability in the clinic. New strategies for motor rehabilitation after stroke are undergoing ex...
-
Article
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A brain–computer interface (BCI) can connect humans and machines directly and has achieved successful applications in the past few decades. Many new BCI paradigms and algorithms have been developed in recent y...
-
Article
Dynamic Brain Responses Modulated by Precise Timing Prediction in an Opposing Process
The brain function of prediction is fundamental for human beings to shape perceptions efficiently and successively. Through decades of effort, a valuable brain activation map has been obtained for prediction. ...
-
Article
Open AccessA brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study
Motor imagery (MI) induced EEG patterns are widely used as control signals for brain-computer interfaces (BCIs). Kinetic and kinematic factors have been proved to be able to change EEG patterns during motor ex...
-
Chapter and Conference Paper
EMD-based Feature Extraction from Motor Imaginary EEG of Complex Movements
In this study, we proposed and evaluated the use of the empirical mode decomposition (EMD) technique to extract feature information of the event-related (de) synchronization (ERD/ERS) phenomenon during complex...
