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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
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
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