Understanding how our brains process language is a fascinating area of research. Recently, scientists have developed a way to interpret brain activity recorded by MEG (magnetoencephalography) signals and use that data to predict specific linguistic features. This approach combines advanced neurotechnology with deep learning models to build an end-to-end system, transforming raw neural responses into

