A Systematic Review of EEG-Based Visual Decoding Using Machine Learning and Deep Learning
The primary objective of this research is to develop and validate robust computational frameworks capable of decoding complex cognitive processes—specifically visual perception and mental imagery—directly from non-invasive electroencephalography (EEG) signals. Translating raw, high-dimensional neural activity into cohe...