Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics

Abstract Sensitivity to sound-level statistics is crucial for optimal perception, but research has focused mostly on neurophysiological recordings, whereas behavioral evidence is sparse. We use electroencephalography (EEG) and behavioral methods to investigate how sound-level statistics affect neura...

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Autores principales:	Björn Herrmann, Thomas Augereau, Ingrid S. Johnsrude
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/baa1a0a5f9994a9e81db2e63e245167b
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spelling	oai:doaj.org-article:baa1a0a5f9994a9e81db2e63e245167b2021-12-02T17:52:43ZNeural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics10.1038/s41598-020-66715-12045-2322https://doaj.org/article/baa1a0a5f9994a9e81db2e63e245167b2020-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-66715-1https://doaj.org/toc/2045-2322Abstract Sensitivity to sound-level statistics is crucial for optimal perception, but research has focused mostly on neurophysiological recordings, whereas behavioral evidence is sparse. We use electroencephalography (EEG) and behavioral methods to investigate how sound-level statistics affect neural activity and the detection of near-threshold changes in sound amplitude. We presented noise bursts with sound levels drawn from distributions with either a low or a high modal sound level. One participant group listened to the stimulation while EEG was recorded (Experiment I). A second group performed a behavioral amplitude-modulation detection task (Experiment II). Neural activity depended on sound-level statistical context in two different ways. Consistent with an account positing that the sensitivity of neurons to sound intensity adapts to ambient sound level, responses for higher-intensity bursts were larger in low-mode than high-mode contexts, whereas responses for lower-intensity bursts did not differ between contexts. In contrast, a concurrent slow neural response indicated prediction-error processing: The response was larger for bursts at intensities that deviated from the predicted statistical context compared to those not deviating. Behavioral responses were consistent with prediction-error processing, but not with neural adaptation. Hence, neural activity adapts to sound-level statistics, but fine-tuning of perceptual sensitivity appears to involve neural prediction-error responses.Björn HerrmannThomas AugereauIngrid S. JohnsrudeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Björn Herrmann Thomas Augereau Ingrid S. Johnsrude Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics
description	Abstract Sensitivity to sound-level statistics is crucial for optimal perception, but research has focused mostly on neurophysiological recordings, whereas behavioral evidence is sparse. We use electroencephalography (EEG) and behavioral methods to investigate how sound-level statistics affect neural activity and the detection of near-threshold changes in sound amplitude. We presented noise bursts with sound levels drawn from distributions with either a low or a high modal sound level. One participant group listened to the stimulation while EEG was recorded (Experiment I). A second group performed a behavioral amplitude-modulation detection task (Experiment II). Neural activity depended on sound-level statistical context in two different ways. Consistent with an account positing that the sensitivity of neurons to sound intensity adapts to ambient sound level, responses for higher-intensity bursts were larger in low-mode than high-mode contexts, whereas responses for lower-intensity bursts did not differ between contexts. In contrast, a concurrent slow neural response indicated prediction-error processing: The response was larger for bursts at intensities that deviated from the predicted statistical context compared to those not deviating. Behavioral responses were consistent with prediction-error processing, but not with neural adaptation. Hence, neural activity adapts to sound-level statistics, but fine-tuning of perceptual sensitivity appears to involve neural prediction-error responses.
format	article
author	Björn Herrmann Thomas Augereau Ingrid S. Johnsrude
author_facet	Björn Herrmann Thomas Augereau Ingrid S. Johnsrude
author_sort	Björn Herrmann
title	Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics
title_short	Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics
title_full	Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics
title_fullStr	Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics
title_full_unstemmed	Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics
title_sort	neural responses and perceptual sensitivity to sound depend on sound-level statistics
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/baa1a0a5f9994a9e81db2e63e245167b
work_keys_str_mv	AT bjornherrmann neuralresponsesandperceptualsensitivitytosounddependonsoundlevelstatistics AT thomasaugereau neuralresponsesandperceptualsensitivitytosounddependonsoundlevelstatistics AT ingridsjohnsrude neuralresponsesandperceptualsensitivitytosounddependonsoundlevelstatistics
_version_	1718379190673211392

Neural Responses and Perceptual Sensitivity to Sound Depend on Sound-Level Statistics

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