Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

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Few computer science breakthroughs have done so much in so little time as the artificial intelligence design known as a transformer. A transformer is a form of deep learning—a machine model based on ...

Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI) systems require effective electroencephalogram (EEG ...

“Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and inter-subject variability—still limits model performance.