Ph.D Student

Hierarchical information processing and cognitive control

When complex visual information contains competing features across different levels, a central question in cognitive neuroscience is how the brain selects, integrates, and prioritizes information to construct coherent perceptual representations. Global processing supports the rapid extraction of abstract structures, whereas local processing enables detailed analysis of fine-grained features. Flexible cognition requires the brain to dynamically coordinate these hierarchical processes according to task goals and contextual demands. Using intracranial EEG (iEEG) and event-related potentials (ERPs), I investigate the spatiotemporal dynamics and neural interactions underlying hierarchical information processing. I also develop mathematical and computational models to explain how distributed neural populations reorganize their activity, resolve competition between representations, and transform sensory inputs into adaptive decisions and behavior.