期刊
JOURNAL OF NEUROSCIENCE
卷 43, 期 21, 页码 3876-3894出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.2002-22.2023
关键词
auditory; modulation; neural network; neurophysiology; psychophysics; sound recognition
By using a computational model, researchers found that human sensitivity to amplitude modulation in natural sounds may have emerged as a result of optimization for natural sound recognition and it is associated with neurophysiological similarity in the auditory brain regions.
Natural sounds contain rich patterns of amplitude modulation (AM), which is one of the essential sound dimensions for au-ditory perception. The sensitivity of human hearing to AM measured by psychophysics takes diverse forms depending on the experimental conditions. Here, we address with a single framework the questions of why such patterns of AM sensitivity have emerged in the human auditory system and how they are realized by our neural mechanisms. Assuming that optimiza-tion for natural sound recognition has taken place during human evolution and development, we examined its effect on the formation of AM sensitivity by optimizing a computational model, specifically, a multilayer neural network, for natural sound (namely, everyday sounds and speech sounds) recognition and simulating psychophysical experiments in which the AM sensi-tivity of the model was assessed. Relatively higher layers in the model optimized to sounds with natural AM statistics exhib-ited AM sensitivity similar to that of humans, although the model was not designed to reproduce human-like AM sensitivity. Moreover, simulated neurophysiological experiments on the model revealed a correspondence between the model layers and the auditory brain regions. The layers in which human-like psychophysical AM sensitivity emerged exhibited substantial neu-rophysiological similarity with the auditory midbrain and higher regions. These results suggest that human behavioral AM sensitivity has emerged as a result of optimization for natural sound recognition in the course of our evolution and/or devel-opment and that it is based on a stimulus representation encoded in the neural firing rates in the auditory midbrain and higher regions.
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