RESEARCH

Our long-term goal is to understand how the human brain processes the natural world using neuroimaging data, such as EEG and fMRI. This knowledge can bridge the gap between AI and neuroscience, benefiting areas like smart healthcare, neuromarketing, and Artificial General Intelligence (AGI). By studying human cognitive mechanisms, we aim to develop AI models capable of performing diverse cognitive tasks more effectively.

Currently, we focus on developing machine learning models for analyzing neuroimaging data, neurofeedback systems for cognitive enhancement, and AI tools for early brain disease diagnosis. Our upcoming research will explore advanced AI models to interpret high-level human cognition during natural visual, auditory, and language experiences.

Machine/Deep Learning

Brain-Computer Interface (BCI)

(Naturalistic) Neuroscience

 NeuroModulation