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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 1–25 of 51 papers

TitleStatusHype
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmarkCode4
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Online SSVEP-based BCI using Riemannian geometryCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific TrainingCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer InterfacesCode1
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classificationCode1
Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identificationCode0
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
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
Using Riemannian geometry for SSVEP-based Brain Computer InterfaceCode0
From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationCode0
Improving SSVEP BCI Spellers With Data Augmentation and Language ModelsCode0
Short-length SSVEP data extension by a novel generative adversarial networks based frameworkCode0
FBDNN: Filter Banks and Deep Neural Networks for Portable and Fast Brain-Computer InterfacesCode0
Direct information transfer rate optimisation for SSVEP-based BCICode0
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces—0
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System—0
A New Statistical Model of Electroencephalogram Noise Spectra for Real-time Brain-Computer Interfaces—0
Hybrid Template Canonical Correlation Analysis Method for Enhancing SSVEP Recognition under data-limited Condition—0
Hybrid Brain-Machine Interface: Integrating EEG and EMG for Reduced Physical Demand—0
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials—0
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