Neural Networks and Foundation Models: Two Strategies for EEG-to-fMRI Prediction
This paper compares two strategies for predicting fMRI activity from EEG data: classical machine learning and deep learning models versus pre-trained large language models, showing promising results from both approaches.
Frontiers in Systems Biology · Dec 17, 2025Peer-reviewedNeuroscience