Spontaneous emergence of rudimentary music detectors in deep neural networks
Abstract Music exists in almost every society, has universal acoustic features, and is processed by distinct neural circuits in humans even with no experience of musical training. However, it remains unclear how these innate characteristics emerge and what functions they serve. Here, using an artifi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-44516-0 |
| _version_ | 1797363165083729920 |
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| author | Gwangsu Kim Dong-Kyum Kim Hawoong Jeong |
| author_facet | Gwangsu Kim Dong-Kyum Kim Hawoong Jeong |
| author_sort | Gwangsu Kim |
| collection | DOAJ |
| description | Abstract Music exists in almost every society, has universal acoustic features, and is processed by distinct neural circuits in humans even with no experience of musical training. However, it remains unclear how these innate characteristics emerge and what functions they serve. Here, using an artificial deep neural network that models the auditory information processing of the brain, we show that units tuned to music can spontaneously emerge by learning natural sound detection, even without learning music. The music-selective units encoded the temporal structure of music in multiple timescales, following the population-level response characteristics observed in the brain. We found that the process of generalization is critical for the emergence of music-selectivity and that music-selectivity can work as a functional basis for the generalization of natural sound, thereby elucidating its origin. These findings suggest that evolutionary adaptation to process natural sounds can provide an initial blueprint for our sense of music. |
| first_indexed | 2024-03-08T16:16:53Z |
| format | Article |
| id | doaj.art-f4d6f51c0f404121b232160f8bbe49fb |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-08T16:16:53Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-f4d6f51c0f404121b232160f8bbe49fb2024-01-07T12:33:26ZengNature PortfolioNature Communications2041-17232024-01-0115111110.1038/s41467-023-44516-0Spontaneous emergence of rudimentary music detectors in deep neural networksGwangsu Kim0Dong-Kyum Kim1Hawoong Jeong2Department of Physics, Korea Advanced Institute of Science and TechnologyDepartment of Physics, Korea Advanced Institute of Science and TechnologyDepartment of Physics, Korea Advanced Institute of Science and TechnologyAbstract Music exists in almost every society, has universal acoustic features, and is processed by distinct neural circuits in humans even with no experience of musical training. However, it remains unclear how these innate characteristics emerge and what functions they serve. Here, using an artificial deep neural network that models the auditory information processing of the brain, we show that units tuned to music can spontaneously emerge by learning natural sound detection, even without learning music. The music-selective units encoded the temporal structure of music in multiple timescales, following the population-level response characteristics observed in the brain. We found that the process of generalization is critical for the emergence of music-selectivity and that music-selectivity can work as a functional basis for the generalization of natural sound, thereby elucidating its origin. These findings suggest that evolutionary adaptation to process natural sounds can provide an initial blueprint for our sense of music.https://doi.org/10.1038/s41467-023-44516-0 |
| spellingShingle | Gwangsu Kim Dong-Kyum Kim Hawoong Jeong Spontaneous emergence of rudimentary music detectors in deep neural networks Nature Communications |
| title | Spontaneous emergence of rudimentary music detectors in deep neural networks |
| title_full | Spontaneous emergence of rudimentary music detectors in deep neural networks |
| title_fullStr | Spontaneous emergence of rudimentary music detectors in deep neural networks |
| title_full_unstemmed | Spontaneous emergence of rudimentary music detectors in deep neural networks |
| title_short | Spontaneous emergence of rudimentary music detectors in deep neural networks |
| title_sort | spontaneous emergence of rudimentary music detectors in deep neural networks |
| url | https://doi.org/10.1038/s41467-023-44516-0 |
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