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Found 2 papers, 1 papers with code
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data
In this study, we demonstrate the application of a hybrid Vision Transformer (ViT) model, pretrained on ImageNet, on an electroencephalogram (EEG) regression task.
Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data
Classifying EEG data is integral to the performance of Brain Computer Interfaces (BCI) and their applications.
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