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Neural populations in the language network differ in the size of their temporal receptive windows

Regev, T. I., Casto, C., Hosseini, E. A., Adamek, M., Ritaccio, A. L., Willie, J. T., Brunner, P., Fedorenko, E.

biorxiv · 2024

Abstract

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. Leveraging the high spatiotemporal resolution of intracranial recordings, we examined responses to sentences and linguistically degraded conditions and discovered three response profiles that differ in their temporal dynamics. These profiles appear to reflect different temporal receptive windows (TRWs), with average TRWs of about 1, 4, and 6 words, as estimated with a simple one-parameter model. Neural populations exhibiting these profiles are interleaved across the language network, which suggests that all language regions have direct access to distinct, multi-scale representations of linguistic input--a property that may be critical for the efficiency and robustness of language processing.

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Provenance

Source
bioRxiv
DOI
10.1101/2022.12.30.522216
Canonical
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Fetched
2026-05-31 MST

Cite this

APA
I., R.T., C., C., A., H.E., M., A., L., R.A., T., W.J., P., B., &amp; E., F. (2024). Neural populations in the language network differ in the size of their temporal receptive windows. <em>biorxiv</em>. https://doi.org/10.1101/2022.12.30.522216
Vancouver
I. RT, C. C, A. HE, M. A, L. RA, T. WJ, et al. Neural populations in the language network differ in the size of their temporal receptive windows. biorxiv. 2024. doi:10.1101/2022.12.30.522216.
BibTeX
@unpublished{regev2024Neural, title = {Neural populations in the language network differ in the size of their temporal receptive windows}, author = {Regev, T. I. and Casto, C. and Hosseini, E. A. and Adamek, M. and Ritaccio, A. L. and Willie, J. T. and Brunner, P. and Fedorenko, E.}, journal = {biorxiv}, year = {2024}, doi = {10.1101/2022.12.30.522216}, }

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