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 …
achieved successful applications in the past few decades. Many new BCI paradigms and …
Improving the performance of individually calibrated SSVEP-BCI by task-discriminant component analysis
A brain-computer interface (BCI) provides a direct communication channel between a brain
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …
Robust similarity measurement based on a novel time filter for SSVEPs detection
The steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has
received extensive attention in research for the less training time, excellent recognition …
received extensive attention in research for the less training time, excellent recognition …
BETA: A large benchmark database toward SSVEP-BCI application
The brain-computer interface (BCI) provides an alternative means to communicate and it has
sparked growing interest in the past two decades. Specifically, for Steady-State Visual …
sparked growing interest in the past two decades. Specifically, for Steady-State Visual …
Spatial filtering in SSVEP-based BCIs: Unified framework and new improvements
Objective: In the steady-state visual evoked potential (SSVEP)-based brain computer
interfaces (BCIs), spatial filtering, which combines the multi-channel …
interfaces (BCIs), spatial filtering, which combines the multi-channel …
A deep neural network for ssvep-based brain-computer interfaces
OB Guney, M Oblokulov… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Objective: Target identification in brain-computer interface (BCI) spellers refers to the
electroencephalogram (EEG) classification for predicting the target character that the subject …
electroencephalogram (EEG) classification for predicting the target character that the subject …
An efficient CNN-LSTM network with spectral normalization and label smoothing technologies for SSVEP frequency recognition
Objective. Steady-state visual evoked potentials (SSVEPs) based brain–computer interface
(BCI) has received great interests owing to the high information transfer rate and available …
(BCI) has received great interests owing to the high information transfer rate and available …
A spectrally-dense encoding method for designing a high-speed SSVEP-BCI with 120 stimuli
The practical functionality of a brain-computer interface (BCI) is critically affected by the
number of stimuli, especially for steady-state visual evoked potential based BCI (SSVEP …
number of stimuli, especially for steady-state visual evoked potential based BCI (SSVEP …
Inter-and intra-subject transfer reduces calibration effort for high-speed SSVEP-based BCIs
Objective: Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces
(BCIs) that can deliver a high information transfer rate (ITR) usually require subject's …
(BCIs) that can deliver a high information transfer rate (ITR) usually require subject's …
Align and pool for EEG headset domain adaptation (ALPHA) to facilitate dry electrode based SSVEP-BCI
Objective: The steady-state visual evoked potential based brain-computer interface (SSVEP-
BCI) implemented in dry electrodes is a promising paradigm for alternative and …
BCI) implemented in dry electrodes is a promising paradigm for alternative and …