Syed Hussain Ather

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.

This paper explores using active inference and Friston's free energy principle to improve brain-computer interfaces by optimizing decision-making and incorporating artificial curiosity.