Simon Kojima

Visual cues in MI-BCI induce biases in EEG classification models with deep learning but not with standard machine learning

Deep learning classification methods are increasingly popular in the brain-computer interface (BCI) field due to their ability to learn complex, non-linear representations from EEG data. Unlike traditional machine learning approaches, which typically rely on hand-crafted features, deep learning models autonomously...