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dc.contributor.authorMcPherson, Malinda J
dc.contributor.authorMcDermott, Josh H
dc.date.accessioned2021-10-27T19:57:34Z
dc.date.available2021-10-27T19:57:34Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/133997
dc.description.abstract© 2020 National Academy of Sciences. All rights reserved. Perceptual systems have finite memory resources and must store incoming signals in compressed formats. To explore whether representations of a sound's pitch might derive from this need for compression, we compared discrimination of harmonic and inharmonic sounds across delays. In contrast to inharmonic spectra, harmonic spectra can be summarized, and thus compressed, using their fundamental frequency (f0). Participants heard two sounds and judged which was higher. Despite being comparable for sounds presented back-to-back, discrimination was better for harmonic than inharmonic stimuli when sounds were separated in time, implicating memory representations unique to harmonic sounds. Patterns of individual differences (correlations between thresholds in different conditions) indicated that listeners use different representations depending on the time delay between sounds, directly comparing the spectra of temporally adjacent sounds, but transitioning to comparing f0s across delays. The need to store sound in memory appears to determine reliance on f0-based pitch and may explain its importance in music, in which listeners must extract relationships between notes separated in time.
dc.language.isoen
dc.publisherProceedings of the National Academy of Sciences
dc.relation.isversionof10.1073/pnas.2008956117
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.sourcePNAS
dc.titleTime-dependent discrimination advantages for harmonic sounds suggest efficient coding for memory
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.contributor.departmentCenter for Brains, Minds, and Machines
dc.relation.journalProceedings of the National Academy of Sciences of the United States of America
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-18T14:34:00Z
dspace.orderedauthorsMcPherson, MJ; McDermott, JH
dspace.date.submission2021-03-18T14:34:02Z
mit.journal.volume117
mit.journal.issue50
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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