Brain Signal

Brain signal research focuses on decoding information from neural activity, primarily using electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), to understand brain function and develop brain-computer interfaces (BCIs). Current research emphasizes developing robust models, including transformers, generative adversarial networks (GANs), and recurrent neural networks (RNNs), to translate brain signals into various modalities like images, text, and even robot commands, often employing self-supervised and transfer learning techniques to address data limitations. This field holds significant promise for advancing neuroscience, improving diagnostics for neurological disorders, and creating assistive technologies for individuals with communication or motor impairments.