Development of an Open-Source EEG Foundation Model
- Mentors
- Babak Mahmoudi, Mahmoud Zeydabadinezhad
- Organization
- Department of Biomedical Informatics, Emory University
- Technologies
- python, numpy, pytorch, pandas
- Topics
- deep learning, data analysis, Large Language Models(LLMs)
The project's core objective is to develop an open-source foundational model for EEG data analysis, using deep learning techniques and extensive pre-training on a broad spectrum of EEG datasets. This foundational model will enable more effective processing, feature extraction, and interpretation of EEG signals, catering to both large-scale datasets and specific, smaller datasets.