Siyang Yin

The paper uses EEG-fMRI data to decode the temporal dynamics of affective scene processing, finding distinct neural activity patterns for pleasant and unpleasant images.

This study uses EEG and fMRI with machine learning to show that affective pictures evoke valence-specific neural representations in retinotopic visual cortex, influenced by limbic and frontal connectivity.

This study shows that fear conditioning leads to sparser neural representations of threat cues in primary visual cortex, associated with changes in alpha oscillations and BOLD signals.