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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 1–50 of 51 papers

TitleStatusHype
Non-invasive two-step strategy BCI: brain-muscle-hand interface—0
SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding—0
Hybrid Brain-Machine Interface: Integrating EEG and EMG for Reduced Physical Demand—0
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classificationCode1
Improving SSVEP BCI Spellers With Data Augmentation and Language ModelsCode0
Adapting the Biological SSVEP Response to Artificial Neural Networks—0
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System—0
The VEP Booster: A Closed-Loop AI System for Visual EEG Biomarker Auto-generation—0
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmarkCode4
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model—0
SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer InterfacesCode1
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition—0
SSVEP-Based BCI Wheelchair Control System—0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing—0
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
Short-length SSVEP data extension by a novel generative adversarial networks based frameworkCode0
Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
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
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
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
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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