ManyMusic Overview

ManyMusic🎵1 is a project dedicated for deep-phenotyping of music-evoked emotions using 1K+ full-length musical pieces, continuous emotional rating timeseries, electrophysiological signals, and functional neuroimaging data.

This project is still ongoing. We finished the stimulus curation and validation phases, and we finished collecting EEG+ and fMRI+ data. Currently, we are analysing the data and preparing for the publication. The data and code will be made openly available upon the project completion.

News & Updates

  • 2026-10-16: ManyMusic-Acq fMRI+ data acquisition has been completed, which concluded the entire data collection of ManyMusic! 🎉
  • 2026-05-07: ManyMusic-Acq fMRI+ data acquisition has been started! Check out the dashboard for the current progress. 🧠
  • 2026-05-04: ManyMusic-Rec EEG+ data acquisition is completed! We are now preparing the data for public release. Stay tuned! 🎉
  • 2025-12-11: ManyMusic-Rec EEG+ data recording has been started! Check out the dashboard for the current progress. 📊
  • 2025-10-14: ManyMusic-Stim HCMIR workshop paper is published! Stimulus set and validation data are now available. 🎉
  • 2025-09-15: ManyMusic website is launched! 🚀

Dissemination

  • 2026-09-23: Building a 1,000-Song Naturalistic EEG Dataset: Practical Lessons from ManyMusic🎶, CuttingGardens (the annual meeting of CuttingEEG), local program in Frankfurt am Main, CoBIC, [workshop-1].
  • 2026-01-19: Deep Phenotyping of Affective Experiences Evoked by Music: “ManyMusic🎶”, Scientific Advisory Board meeting, MPIEA, Frankfurt am Main, [poster-1].
  • 2023-10-16: Deep Phenotyping of Affective Experiences Evoked by Music: “ManyMusic🎶” (study proposal), CuttingGardens (the annual meeting of CuttingEEG), local program in Frankfurt am Main, ESI, [poster-0].

Subprojects

More to come! 😃


  1. The work is a collaboration between the Max Planck Institute for Empirical Aesthetics and Pompeu Fabra University. Main contributors are Seung-Goo Kim, Pablo Alonso, and Dmitry Bogdanov. Project supervisor is Apl. Prof. Daniela Sammeler. This project is supported by the Max-Planck-Gesellschaft and Johanna-Quandt Young Academy. Please direct any questions or comments to Seung-Goo Kim. ↩