Sam E. John

Visual Semantic Decoding of Electrocorticography from Video Stimuli using End-to-End Deep Learning

It is demonstrated that an end-to-end deep learning framework can yield promising decoding performance from dynamic visual stimuli without handcrafted features, while the model behavior remains interpretable through spectral, temporal, and cortical dimensions, which are broadly consistent with established neuroscience...