Kai Hwang

This paper introduces a regression-based beta-series modeling framework to estimate how task-related variables modulate functional connectivity in event-related fMRI, showing improved statistical power and temporal specificity.

The paper uses a computational model and fMRI data to show how frontoparietal hubs dynamically reconfigure connectivity based on different stages of information integration during behavior.

The paper investigates how hierarchical neural representations support cognitive flexibility by analyzing task switch costs and neural reconfiguration in fMRI data from healthy adults.

The paper develops a computational neuroimaging framework to study how the brain integrates internal and external stochastic information to guide behavior, finding that frontoparietal hubs integrate uncertainty from distributed brain regions.

This study investigates thalamic contributions to hierarchical cognitive control by analyzing thalamic activity and thalamocortical interactions during task context switches.

The paper shows that human dorsal stream uses reinforcement learning dynamics to manage exploration and exploitation in continuous spaces by compressing less preferred options.

The paper investigates how thalamocortical interactions support cognitive task activity by analyzing fMRI data from 127 tasks and showing thalamic hubs transform activity to cortical representations.

The paper investigates thalamic hubs in the human brain and finds that lesions in highly connected subregions cause broader cognitive deficits than those in less connected regions.

This study examines how cognitive control affects functional connectivity during task performance, finding that fronto-parietal regions influence connectivity patterns through top-down signals.