Evidence map›Paper›PMID 38168097›Full record

ArticleNature communications2024

Spontaneous emergence of rudimentary music detectors in deep neural networks.

Gwangsu Kim, Dong-Kyum Kim, Hawoong Jeong

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Gwangsu KimDepartment of Physics, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.ORCID 0000-0003-2299-0140
Dong-Kyum KimDepartment of Physics, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.ORCID 0000-0001-6630-2181
Hawoong JeongDepartment of Physics, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea. hjeong@kaist.edu.ORCID 0000-0002-2491-8620
Korea Advanced Institute of Science and Technology · KR

Funding

National Research Foundation of Korea (NRF) 2022R1A2B5B02001752
6 · The paper itself

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.

Indexed as

MusicAcoustic StimulationAuditory PerceptionBrainHearingHumans

Identifiers

PMID38168097
PMCPMC10761941
OpenAlexW4390510776

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.