Music-selective neural populations arise without musical training

Boebinger, Dana; Norman-Haignere, Sam V; McDermott, Josh H.; Kanwisher, Nancy

doi:10.1152/jn.00588.2020

Cited by 48 publications

(106 citation statements)

References 120 publications

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“…However, dramatic changes of such preexisting functional elements are unlikely, according to recent experimental studies. It was reported that music-selectivity is similarly observed in both musicians and non-musicians who had almost no explicit training in music (11). Furthermore, native Amazonians who had almost no exposure to Western harmony showed similar characteristics of perceiving musical harmonics as Westerners (15), while aesthetic judgments of musical intervals (consonance/dissonance in Western music) can be largely dependent on culture (52).…”

Section: Discussionmentioning

confidence: 99%

“…1A, 17,902 training data and 17,585 test data with balanced numbers for each category to avoid overfitting for a specific class). Each excerpt in the dataset is intrinsically multi-labeled as different sounds generally co-occur in a natural environment, but a sufficient number of data was selected to contain only music-related categories (3,620 in the training set and 4,033 in the test set) and no music-related categories (11,087 in the training set and 10,616 in the test set). These sets can be safely termed as 'music' and 'non-music' sounds, respectively.…”

Section: Distinct Representation Of Music In a Network Trained For Natural Sound Detection Including Musicmentioning

confidence: 99%

“…Several experimental observations suggest that music-selectivity and an ability to process the basic features of music develop spontaneously, without special need for an explicit musical training 10 . For example, a recent neuroimaging study showed that musicselective neural populations exist in not only individuals who had explicit musical training but also in individuals who had almost no explicit musical training 11 . In addition, it was reported that even infants have an ability to perceive multiple acoustic features of music 12,13 , such as melody that is invariant to shifts in pitch level and tempo, similar to adults.…”

Section: Mainmentioning

confidence: 99%

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Spontaneous emergence of music detectors in a deep neural network

Kim

Jeong

2021

Preprint

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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. These characteristics suggest an innateness of the sense of music in our brain, but it is unclear how this innateness emerges and what functions it has. 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. By simulating the responses of network units to 35,487 natural sounds in 527 categories, we found that various subclasses of music are strongly clustered in the embedding space, and that this clustering arises from the music-selective response of the network units. The music-selective units encoded the temporal structure of music in multiple timescales, following the population-level response characteristics observed in the brain. We confirmed 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 our sense of music can be innate, universally shaped by evolutionary adaptation to process natural sound.One-sentence summaryMusic-selectivity can arise spontaneously in deep neural networks trained for natural sound detection without learning music.

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Section: Discussionmentioning

confidence: 99%

Section: Distinct Representation Of Music In a Network Trained For Natural Sound Detection Including Musicmentioning

confidence: 99%

Section: Mainmentioning

confidence: 99%

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Spontaneous emergence of music detectors in a deep neural network

Kim

Jeong

2021

Preprint

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“…The existence of the VWFA implies that finding brain regions which respond selectively to music vs. other sounds (i.e., regions "neurally selective for music") would not help resolve the Darwin-James debate. Indeed, there is now robust evidence for such regions, which is interesting because to date the only sounds for which category-selective neural regions have been found are speech and music (Norman-Haignere et al 2015;Boebinger et al 2021). Yet music-selective brain regions, like the VWFA, could result from experience-dependent neural plasticity since music is a complex, meaningful sound pattern heard throughout life.…”

Section: Introductionmentioning

confidence: 98%

Musicality and gene-culture coevolution: ten concepts to guide productive exploration

Patel¹

2021

Preprint

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A growing number of researchers across the sciences and humanities theorize that human musicality arose via an interplay of cultural invention and biological evolution, or “gene-culture coevolution.” This chapter offers ten concepts to help guide productive cross-disciplinary discussions on this topic. Such interactions across traditional disciplinary boundaries are needed to propel deep explorations of human musicality. These explorations are important for the study of human origins because musicality may prove to be a model system for exploring cognitive gene-culture coevolution, a process increasingly thought to be central to the evolution of the human mind.

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“…The bilateral superior temporal regions show music-selective neural responses ( Fedorenko et al. 2012 ; Boebinger et al. 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Music in Noise: Neural Correlates Underlying Noise Tolerance in Music-Induced Emotion

Murai

Yang

Hiryu

et al. 2021

Cerebral Cortex Communications

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Music can be experienced in various acoustic qualities. In this study, we investigated how the acoustic quality of the music can influence strong emotional experiences, such as musical chills, and the neural activity. The music’s acoustic quality was controlled by adding noise to musical pieces. Participants listened to clear and noisy musical pieces and pressed a button when they experienced chills. We estimated neural activity in response to chills under both clear and noisy conditions using functional magnetic resonance imaging (fMRI). The behavioral data revealed that compared with the clear condition, the noisy condition dramatically decreased the number of chills and duration of chills. The fMRI results showed that under both noisy and clear conditions the supplementary motor area, insula, and superior temporal gyrus were similarly activated when participants experienced chills. The involvement of these brain regions may be crucial for music-induced emotional processes under the noisy as well as the clear condition. In addition, we found a decrease in the activation of the right superior temporal sulcus when experiencing chills under the noisy condition, which suggests that music-induced emotional processing is sensitive to acoustic quality.

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Music-selective neural populations arise without musical training

Cited by 48 publications

References 120 publications

Spontaneous emergence of music detectors in a deep neural network

Spontaneous emergence of music detectors in a deep neural network

Musicality and gene-culture coevolution: ten concepts to guide productive exploration

Music in Noise: Neural Correlates Underlying Noise Tolerance in Music-Induced Emotion

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