TY - JOUR
T1 - Neural populations in the language network differ in the size of their temporal receptive windows
AU - Regev, Tamar I.
AU - Casto, Colton
AU - Hosseini, Eghbal A.
AU - Adamek, Markus
AU - Ritaccio, Anthony L.
AU - Willie, Jon T.
AU - Brunner, Peter
AU - Fedorenko, Evelina
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.
PY - 2024/10
Y1 - 2024/10
N2 - Despite long knowing what brain areas support language comprehension, our knowledge of the neural computations that these frontal and temporal regions implement remains limited. One important unresolved question concerns functional differences among the neural populations that comprise the language network. Here we leveraged the high spatiotemporal resolution of human intracranial recordings (n = 22) to examine responses to sentences and linguistically degraded conditions. We discovered three response profiles that differ in their temporal dynamics. These profiles appear to reflect different temporal receptive windows, with average windows of about 1, 4 and 6 words, respectively. Neural populations exhibiting these profiles are interleaved across the language network, which suggests that all language regions have direct access to distinct, multiscale representations of linguistic input—a property that may be critical for the efficiency and robustness of language processing.
AB - Despite long knowing what brain areas support language comprehension, our knowledge of the neural computations that these frontal and temporal regions implement remains limited. One important unresolved question concerns functional differences among the neural populations that comprise the language network. Here we leveraged the high spatiotemporal resolution of human intracranial recordings (n = 22) to examine responses to sentences and linguistically degraded conditions. We discovered three response profiles that differ in their temporal dynamics. These profiles appear to reflect different temporal receptive windows, with average windows of about 1, 4 and 6 words, respectively. Neural populations exhibiting these profiles are interleaved across the language network, which suggests that all language regions have direct access to distinct, multiscale representations of linguistic input—a property that may be critical for the efficiency and robustness of language processing.
UR - https://www.scopus.com/pages/publications/85202041297
U2 - 10.1038/s41562-024-01944-2
DO - 10.1038/s41562-024-01944-2
M3 - Article
C2 - 39187713
AN - SCOPUS:85202041297
SN - 2397-3374
VL - 8
SP - 1924
EP - 1942
JO - Nature Human Behaviour
JF - Nature Human Behaviour
IS - 10
ER -