Yixuan Ku

This study shows that rhythmic motor activity can enhance auditory attention during attentional blinks but impair performance when attention is sufficient.

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.

This study investigates how task load affects motor learning through longitudinal fNIRS analysis, finding load-independent control strategies and load-dependent cortical activation changes.

This study investigates how hippocampal atrophy and subfield volume changes in aMCI patients relate to visual short-term memory impairment.

This study investigates visual orthographic deficits in Chinese adults with reading disability using fMRI and EEG, finding orthographic-specific deficits but normal visual perceptual processing.

This study compares EEG brain activation patterns with DCNNs to explore neural mechanisms of facial repetition suppression, finding greater similarity with the Fatigue model.

This study shows that schizophrenia patients have larger variability in memory resource allocation, not reduced capacity, explaining their visual working memory deficits.

NeuroRA is a Python toolbox for representational analysis of multi-modal neural data, enabling cross-modal comparisons and various similarity calculations.

This study investigates how the brain maintains visual working memory precision by analyzing neural activity in the lateral occipital complex and its connectivity with the inferior frontal junction during memory tasks.

This study investigates how endogenous and exogenous spatial attention affect visual working memory under different loads, finding exogenous cues provide greater benefits under low load.

This study shows that reactivated memories are vulnerable to modification within a 20-minute window through new learning, with fMRI revealing specific brain regions involved in this process.

This study examines visual working memory and distractibility in schizophrenia, finding that patients show unexpected higher resilience to distraction but worse overall performance.

The paper identifies a multivoxel representation of temporal distances in the human parietal cortex using fMRI and representational similarity analysis, showing its vulnerability to disruption and its role in episodic memory retrieval.