Won Mok Shim

This study uses response hyperalignment to show shared representational spaces in macaque fMRI data despite individual differences in functional topographies.

This study develops a computational framework to reconstruct social cognitive maps from brain activity during social interactions, showing that relational geometry predicts personality traits.

The paper introduces MoCET, a method to correct eye tracking drift in fMRI by using head motion parameters, improving gaze accuracy over existing methods.

The paper shows how neural gain modulation propagates from posterior to anterior brain regions to optimize orientation perception in chronic astigmatism, with effects dependent on exposure duration.

This paper introduces GLUE, a framework linking neural activity geometry to computational efficiency, showing task-relevant representations untangle across various domains.

The paper shows that large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional states during tasks and naturalistic conditions.

This study examines cognitive state dynamics during story comprehension and finds that the brain enters functionally integrated states with increased DMN activation during moments of understanding.