Jiefeng Jiang

The paper investigates how controlled and non-controlled associations are integrated in neural representations to guide adaptive behavior using EEG and behavioral data.

This paper introduces beta-PPI, a method to estimate how trial-wise 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 proactive and reactive cognitive control mechanisms interact over time using EEG and a Stroop paradigm, revealing distinct neural oscillatory patterns associated with each control mode.

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.

The paper investigates neural mechanisms of cognitive control during conflict between visual working memory and perception using EEG and reinforcement-learning models.

The paper shows that humans can generalize task knowledge by associating simple tasks, and EEG data can decode these simple tasks during learning of new complex tasks.

The paper shows that practice-induced strategy shifts in task learning are mediated by cost-benefit analysis, supported by computational modeling and fMRI data.

The paper proposes a cognitive space theory to reconcile domain-general and domain-specific cognitive control by showing conflicts are organized in a low-dimensional space based on similarity.

This study uses fMRI to show that differentiation and integration in the hippocampus and related regions work together to build environmental representations during navigation, with integration variability linked to navigation efficiency.

This study uses fMRI data from older adults to show that hippocampal activity and cortical reinstatement predict episodic memory performance, with age reducing cortical reinstatement and its link to memory.

The paper shows how the brain combines external cues and internal predictions to guide task preparation and cognitive control.