We introduce SeeD, a novel and efficient inference framework to optimize runtime speed and GPU memory management concurrently. By employing a scheduled speculative execution, SeeD efficiently handles ...

Abstract: Neural decoding is a pivotal technique in neuroscience for reconstructing sensory stimuli from neural responses. This study presents a real-time neural decoder hardware implemented using ...

Abstract: Objective: Inter-session and inter-subject variability in electroencephalography (EEG) signals, resulting from individual differences and environmental factors, poses a major challenge for ...