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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 26–50 of 51 papers

TitleStatusHype
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
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP—0
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
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
Online SSVEP-based BCI using Riemannian geometryCode1
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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