Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data
John David Griffiths, Zheng Wang, Syed Hussain Ather, Davide Momi, Scott Rich, Andreea Oliviana Diaconescu, Anthony Randal McIntosh, Kelly Shen
The paper introduces a deep learning approach to estimate parameters in connectome-based neural mass models using fMRI data and demonstrates its effectiveness on synthetic and real resting-state fMRI data.
bioRxiv · May 19, 2022 · PreprintNeuroscience