dc.contributor.author | Kell, Alexander JE | |
dc.contributor.author | McDermott, Josh H | |
dc.date.accessioned | 2021-10-27T20:35:19Z | |
dc.date.available | 2021-10-27T20:35:19Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/136424 | |
dc.description.abstract | © 2019, The Author(s). Despite well-established anatomical differences between primary and non-primary auditory cortex, the associated representational transformations have remained elusive. Here we show that primary and non-primary auditory cortex are differentiated by their invariance to real-world background noise. We measured fMRI responses to natural sounds presented in isolation and in real-world noise, quantifying invariance as the correlation between the two responses for individual voxels. Non-primary areas were substantially more noise-invariant than primary areas. This primary-nonprimary difference occurred both for speech and non-speech sounds and was unaffected by a concurrent demanding visual task, suggesting that the observed invariance is not specific to speech processing and is robust to inattention. The difference was most pronounced for real-world background noise—both primary and non-primary areas were relatively robust to simple types of synthetic noise. Our results suggest a general representational transformation between auditory cortical stages, illustrating a representational consequence of hierarchical organization in the auditory system. | |
dc.language.iso | en | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.isversionof | 10.1038/S41467-019-11710-Y | |
dc.rights | Creative Commons Attribution 4.0 International license | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Nature | |
dc.title | Invariance to background noise as a signature of non-primary auditory cortex | |
dc.type | Article | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | |
dc.contributor.department | McGovern Institute for Brain Research at MIT | |
dc.contributor.department | Center for Brains, Minds, and Machines | |
dc.relation.journal | Nature Communications | |
dc.eprint.version | Final published version | |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
eprint.status | http://purl.org/eprint/status/PeerReviewed | |
dc.date.updated | 2021-03-26T16:03:37Z | |
dspace.orderedauthors | Kell, AJE; McDermott, JH | |
dspace.date.submission | 2021-03-26T16:03:38Z | |
mit.journal.volume | 10 | |
mit.journal.issue | 1 | |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | |