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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 31–40 of 51 papers

TitleStatusHype
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
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