We investigate brain activities by using electroencephalography (EEG). We have adopted various EEG analysis methods including Event-related potential (ERP) and Time-Frequency analysis, Source localization, etc.

Recently, our analysis frame aims to deconvolution methods (e.g., RIDE) and machine learning (MVPA) to decode neural underpinnings with collaborator Dr. Gi-Yeul Bae. We usually use Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) to classify EEG data.