Ingon Chanpornpakdi

This study examines how interoceptive accuracy affects EEG patterns during music recall tasks, finding stronger alpha power suppression in individuals with higher interoceptive accuracy.

This paper investigates face cognition during the pandemic using EEG and eye-tracking, finding that eyes are critical for facial recognition and that partial face visibility can enhance cognition through visual working memory.

This study investigates how familiar melodies affect alpha power, finding suppression in specific brain regions similar to language processing.

This paper uses machine learning to investigate face cognition mechanisms with partial face stimuli, finding that the eyes are the most effective component for cognitive processing.