Neural populations in the language network differ in the size of their temporal receptive windows
Tamar I. RegeviD, Colton CastoiD, Eghbal A. HosseiniiD, Markus AdamekiD, Anthony L. RitaccioiD, Jon Timothy WillieiD, Peter BrunneriD, Evelina G. FedorenkoiD
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.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 31
- FWCI
- 6.54
- Field percentile
- top 2%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- No evidence for functional distinctions across fronto-temporal language regions in their temporal receptive windows
Idan Blank, Evelina G. Fedorenko·NeuroImagePeer-reviewed·May 11, 2020
- The language network responds robustly to sentences across diverse tasks
Ruimin Gao, Chun Chuen Cheung, … Anna Aleksandrovna Ivanova·bioRxiv·Apr 27, 2026
- Naturalistic language comprehension engages a cascade of widespread brain networks in the one second following comprehension
Min Kyung Hong, Andrew P. Janson, … Katherine S. Aboud·bioRxiv·Dec 17, 2024
- Neuronal memory for language processing
Hartmut Fitz, Marvin Uhlmann, … Karl Magnus Petersson·Proceedings of the National Academy of SciencesPeer-reviewed·Aug 11, 2020
- A two-dimensional space of linguistic representations shared across individuals
Greta Tuckute, Elizabeth J. Lee, … Kendrick Kay·bioRxiv·May 21, 2025
- Behavioral and brain responses to language reflect different levels of linguistic representation
Andrea Gregor de Varda, Yevgeni Berzak, … Roger Lévy·bioRxiv·Aug 25, 2026