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Neural populations in the language network differ in the size of their temporal receptive windows.
Regev, Tamar I; Casto, Colton; Hosseini, Eghbal A; Adamek, Markus; Ritaccio, Anthony L; Willie, Jon T; Brunner, Peter; Fedorenko, Evelina.
Afiliación
  • Regev TI; Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA. tamarr@mit.edu.
  • Casto C; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. tamarr@mit.edu.
  • Hosseini EA; Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA. ccasto@mit.edu.
  • Adamek M; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. ccasto@mit.edu.
  • Ritaccio AL; Program in Speech and Hearing Bioscience and Technology (SHBT), Harvard University, Boston, MA, USA. ccasto@mit.edu.
  • Willie JT; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Allston, MA, USA. ccasto@mit.edu.
  • Brunner P; Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Fedorenko E; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nat Hum Behav ; 2024 Aug 26.
Article en En | MEDLINE | ID: mdl-39187713
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. 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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Hum Behav Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Hum Behav Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido