BioinformaticsbioRxivPreprint
EEG-to-fMRI Prediction for Neurofeedback: Evaluating Regularized Regression and Clustering Approaches
Riccardo De Feo, Ekaterina Antipushina, Ivan Tyukin, Yury Koush
The paper evaluates regularized regression and clustering approaches to predict fMRI activity from EEG data, finding that clustering improves predictability but generalization remains limited.