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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 1–10 of 51 papers

TitleStatusHype
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmarkCode4
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific TrainingCode1
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classificationCode1
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer InterfacesCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
Deep Multi-Task Learning for SSVEP Detection and Visual Response MappingCode1
Online SSVEP-based BCI using Riemannian geometryCode1
A New Statistical Model of Electroencephalogram Noise Spectra for Real-time Brain-Computer Interfaces—0
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