[3J1-GS-1] Fundamental AI, theory

[3J1-GS-1-01] The Music LP Dataset: EEG Measurements of Human Brain Activity evoked by Passive and Active Music Stimuli

〇Ying Ying Luo¹, Satoshi Nishida², Ichiro Kobayashi¹ (1. Ochanomizu University, 2. National Institute of Information and Communications Technology, Center for Information and Neural Networks)

Keywords:ElectroEncephaloGraphy, Music Stimuli

The present study aims to investigate the impact of musical stimuli on human cognitive functions. To this end, Electroencephalography (EEG) was utilized to measure and analyze brain activity during passive listening and active musical engagement. The sample consisted of 20 participants who were exposed to various forms of classical music and then performed tasks such as predicting the heard piece, playing the score, or performing a difficult piece with their eyes closed. Following each musical experience, the participants completed a post-questionnaire to assess their performance and the elicited mood.
Subsequently, analysis of the dataset using classical time series analysis techniques and tools will be planned, with the ultimate goal of advancing our understanding of the brain's information processing of musical stimuli and contributing to model development in the field. The dataset will be public in the future, and contributions to the field are expected.