Context Sensitivity across Multiple Time scales with a Flexible Frequency Bandwidth.
EEG
ERP
adaptation
computational modeling
human auditory cortex
Journal
Cerebral cortex (New York, N.Y. : 1991)
ISSN: 1460-2199
Titre abrégé: Cereb Cortex
Pays: United States
ID NLM: 9110718
Informations de publication
Date de publication:
23 11 2021
23 11 2021
Historique:
received:
25
02
2021
revised:
29
05
2021
accepted:
07
06
2021
pubmed:
22
7
2021
medline:
1
4
2022
entrez:
21
7
2021
Statut:
ppublish
Résumé
Everyday auditory streams are complex, including spectro-temporal content that varies at multiple timescales. Using EEG, we investigated the sensitivity of human auditory cortex to the content of past stimulation in unattended sequences of equiprobable tones. In 3 experiments including 82 participants overall, we found that neural responses measured at different latencies after stimulus onset were sensitive to frequency intervals computed over distinct timescales. Importantly, early responses were sensitive to a longer history of stimulation than later responses. To account for these results, we tested a model consisting of neural populations with frequency-specific but broad tuning that undergo adaptation with exponential recovery. We found that the coexistence of neural populations with distinct recovery rates can explain our results. Furthermore, the adaptation bandwidth of these populations depended on spectral context-it was wider when the stimulation sequence had a wider frequency range. Our results provide electrophysiological evidence as well as a possible mechanistic explanation for dynamic and multiscale context-dependent auditory processing in the human cortex.
Identifiants
pubmed: 34289019
pii: 6324862
doi: 10.1093/cercor/bhab200
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
158-175Informations de copyright
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.