UnCheol Lee

This study shows that proximity to explosive synchronization determines criticality loss and recovery in neural and economic systems, with implications for network resilience.

This study introduces Relative Phase Analysis to reveal sub-second switches between top-down and bottom-up brain modes, showing distinct dynamics in consciousness and ADHD.

This study examines how psilocybin affects brain network organization in rats, finding dose-dependent changes in connectivity and phase-amplitude coupling.

This study uses a computational model to show that increasing hub connectivity in brain networks can convert explosive synchronization to general synchronization, reducing hypersensitivity in fibromyalgia.

This study shows that brain network criticality enables switching between internal and external processing modes, with distinct network configurations favoring each mode in conscious states.

This study investigates the neural correlates of the shamanic state of consciousness using EEG in practitioners and controls, finding distinct brain activity patterns compared to psychedelic-induced states.

This study simulates brain network dynamics in different states to explore how oscillation properties influence responsiveness to stimuli, identifying conditions that produce varying levels of brain response.

This study investigates how network criticality influences integrated information (Phi) in human brain networks using simulations and EEG data during different consciousness states.