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 11–20 of 51 papers

TitleStatusHype
Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIsCode0
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked PotentialsCode0
Using Riemannian geometry for SSVEP-based Brain Computer InterfaceCode0
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Improving SSVEP BCI Spellers With Data Augmentation and Language ModelsCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Direct information transfer rate optimisation for SSVEP-based BCICode0
Short-length SSVEP data extension by a novel generative adversarial networks based frameworkCode0
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces—0
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