Marco Zorzi

This paper introduces a scalable method for estimating effective connectivity in fMRI data, showing it matches advanced DCM results and outperforms functional connectivity for connectome fingerprinting.

The paper identifies a cluster of stroke patients with high susceptibility to multitasking, linked to damage in the Multiple-Demand System and associated with worse functional outcomes.

This study uses recurrent neural networks to simulate how monotonic and timing-tuned responses emerge and transform during visual timing prediction, showing similarities to brain processing.

This study finds that pupil size changes in response to nicotine-related stimuli can predict smoking status better than traditional measures in young smokers.

This study examines how stroke affects neural criticality in individual brain models and shows recovery over time linked to white matter remodeling.