Data augmentation based on dynamical systems for the classification of brain states
Y. Sanz Perl, C. Pallacivini, I. Perez Ipina, M. L. Kringelbach, G. Deco, H. Laufs, E. Tagliazucchi
This paper uses whole-brain computational models to generate synthetic data for brain state classification, achieving comparable accuracy to empirical data.
bioRxiv · Jan 8, 2020Biophysics