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
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning—0
Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis—0
Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model—0
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning—0
Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP—0
Non-invasive two-step strategy BCI: brain-muscle-hand interface—0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing—0
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study—0
Quantifying Synchronization in a Biologically Inspired Neural Network—0
Adapting the Biological SSVEP Response to Artificial Neural Networks—0
Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface—0
A New Statistical Model of Electroencephalogram Noise Spectra for Real-time Brain-Computer Interfaces—0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks—0
SSVEP-Based BCI Wheelchair Control System—0
SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding—0
An Adaptive Task-Related Component Analysis Method for SSVEP recognition—0
tACS Facilitates Flickering Driving by Boosting Steady-State Visual Evoked Potentials—0
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network—0
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition—0
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces—0
Brain-Computer Interfaces: Investigating the Transition from Visually Evoked to Purely Imagined Steady-State Potentials—0
The VEP Booster: A Closed-Loop AI System for Visual EEG Biomarker Auto-generation—0
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)—0
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis—0
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