Mark R. Libowitz

The paper investigates network competition in the brain using electrophysiology and neuroimaging, finding temporally layered antagonism between default and task-related networks, with distinct patterns in the hippocampus.

This study shows that an asymmetric reinforcement learning model better explains human decision-making under risk than symmetric models.

This study shows that aperiodic exponents from intracranial EEG can differentiate depression symptom severity and correlate with specific brain regions and networks.

This study uses human brain recordings to show that creative thinking is associated with distinct neural states in the default mode and dorsal attention networks.