fMRI Signal

Functional magnetic resonance imaging (fMRI) signals reflect brain activity, and current research focuses on decoding these signals to understand cognitive processes and potentially build brain-computer interfaces. This involves developing advanced machine learning models, including large language models (LLMs), transformers, and generative models like diffusion models, to reconstruct visual stimuli, spoken text, and even physiological signals from fMRI data. These efforts are improving our understanding of brain function across the lifespan and different cognitive tasks, with implications for diagnosing neurological disorders and enhancing brain-computer interfaces.