SOTAVerified

SSVEP

Classification of examples recorded under the Steady-State Visually Evoked Potential (SSVEP) paradigm, as part of Brain-Computer Interfaces (BCI).

A number of SSVEP datasets can be downloaded using the MOABB library: SSVEP datasets list

Papers

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Showing 26–50 of 51 papers

TitleStatusHype
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning—0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study—0
Frequency Superposition -- A Multi-Frequency Stimulation Method in SSVEP-based BCIs—0
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning—0
Quantifying Synchronization in a Biologically Inspired Neural Network—0
Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP—0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification—0
Hybrid Template Canonical Correlation Analysis Method for Enhancing SSVEP Recognition under data-limited Condition—0
tACS Facilitates Flickering Driving by Boosting Steady-State Visual Evoked Potentials—0
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)—0
Tracking momentary attention fluctuations with an EEG-based cognitive brain-machine interface—0
Direct information transfer rate optimisation for SSVEP-based BCICode0
Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface—0
Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs—0
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces—0
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked PotentialsCode0
Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identificationCode0
A New Statistical Model of Electroencephalogram Noise Spectra for Real-time Brain-Computer Interfaces—0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIsCode0
Using Riemannian geometry for SSVEP-based Brain Computer InterfaceCode0
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