Music, often referred to as the universal language, is known to be a common component in all cultures. Could “musical instinct” be something that is shared to some degree, despite the extensive environmental differences among cultures?
Copyright: medicalxpress.com – “Research Team Breaks Down Musical Instincts With AI”
A team of KAIST researchers led by Professor Hawoong Jung from the Department of Physics have used an artificial neural network model to identify the principle by which musical instincts emerge from the human brain without special learning.
The research, conducted by first author Dr. Gwangsu Kim of the KAIST Department of Physics (current affiliation: MIT Department of Brain and Cognitive Sciences) and Dr. Dong-Kyum Kim (current affiliation: IBS) is published in Nature Communications under the title “Spontaneous emergence of rudimentary music detectors in deep neural networks.”
Previously, researchers have attempted to identify the similarities and differences among the music that exists in various cultures, and have tried to understand the origin of the universality. A paper published in Science in 2019 revealed that music is produced in all ethnographically distinct cultures, and that similar forms of beats and tunes are used. Neuroscientists have also learned that a specific part of the human brain, the auditory cortex, is responsible for processing musical information.
Professor Jung’s team used an artificial neural network model to show that cognitive functions for music forms spontaneously as a result of processing auditory information received from nature, without being taught music. The research team utilized AudioSet, a large-scale collection of sound data provided by Google, and taught the artificial neural network to learn the various sounds.[…]
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