Separation and classification of EEG responses to color stimuli

Current work in identifying statistical features of EEG response to color stimuli suggests the possibility of classification of EEG frequency responses with relation to color. In this study, we used Independent Component Analysis (ICA) to isolate color related responses from other background scene related responses and a Support Vector Machines (SVM) to classify these color related responses per colors shown. We seek to prove the human brain will respond in a predictable manner when given particular visual stimulus.