Tatsuya Daikoku

Lifetime changes in Body map based on music prediction

This study examines how bodily sensations and emotional responses to music change with age, finding that bodily responses decline while arousal increases, correlating with musical predictability.

Music-related Bodily Sensation Map in Individuals with Depressive Tendencies

This study examines bodily sensations in individuals with depressive tendencies during music listening, finding strong head sensations linked to negative emotions and specific chord progressions.

Body Maps of Uncertainty and Surprise in Musical Chord Progression and its individual differences in Depression and Body Perception Sensitivity

This study explores how musical chord progressions influence bodily sensations and emotions through predictive processing, showing links between uncertainty, surprise, and interoceptive responses in participants.

Cognitive Individuality and Underlying Creativity in Statistical Learning

This study develops a Hierarchical Bayesian Statistical Learning model to explore how reliability, hierarchy, and 1-3Hz rhythm influence cognitive individuality and creativity in statistical learning.

Culturally Universal Temporal Dynamics of Statistical Learning in Children's Song Contributes to Phase Entrainment and Production of Novel Information

This study uses a Hierarchical Bayesian Statistical Learning model to simulate how children's songs are learned and produced across cultures, showing consistent statistical learning effects and delta-band rhythm acquisition.

The Temporal Statistics of Musical Rhythm across Western Genres: An Amplitude Modulation Phase Hierarchy Model

This study investigates whether musical rhythm shares acoustic statistical properties with child-directed speech by analyzing amplitude modulation (AM) timescales across Western genres.