State Visual Evoked Potential

State visual evoked potentials (SSVEPs) are brain responses to flickering visual stimuli, used primarily in brain-computer interfaces (BCIs) to translate visual attention into control signals. Current research focuses on improving SSVEP-based BCIs by developing calibration-free or minimally-calibrated methods, employing deep learning architectures like convolutional neural networks and transformers, and optimizing data processing techniques such as data augmentation and domain adaptation to enhance accuracy and information transfer rates. These advancements aim to make SSVEP-BCIs more user-friendly and practical for applications ranging from assistive technologies for individuals with disabilities to more general human-computer interaction.