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Quantitative Biology > Neurons and Cognition

arXiv:2307.11078 (q-bio)
[Submitted on 20 Jul 2023]

Title:Brain2Music: Reconstructing Music from Human Brain Activity

Authors:Timo I. Denk, Yu Takagi, Takuya Matsuyama, Andrea Agostinelli, Tomoya Nakai, Christian Frank, Shinji Nishimoto
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Abstract:The process of reconstructing experiences from human brain activity offers a unique lens into how the brain interprets and represents the world. In this paper, we introduce a method for reconstructing music from brain activity, captured using functional magnetic resonance imaging (fMRI). Our approach uses either music retrieval or the MusicLM music generation model conditioned on embeddings derived from fMRI data. The generated music resembles the musical stimuli that human subjects experienced, with respect to semantic properties like genre, instrumentation, and mood. We investigate the relationship between different components of MusicLM and brain activity through a voxel-wise encoding modeling analysis. Furthermore, we discuss which brain regions represent information derived from purely textual descriptions of music stimuli. We provide supplementary material including examples of the reconstructed music at this https URL
Comments: Preprint; 21 pages; supplementary material: this https URL
Subjects: Neurons and Cognition (q-bio.NC); Machine Learning (cs.LG); Sound (cs.SD); Audio and Speech Processing (eess.AS)
Cite as: arXiv:2307.11078 [q-bio.NC]
  (or arXiv:2307.11078v1 [q-bio.NC] for this version)
  https://doi.org/10.48550/arXiv.2307.11078

Submission history

From: Timo Denk [view email]
[v1] Thu, 20 Jul 2023 17:55:17 UTC (12,470 KB)
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