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pro vyhledávání: '"Evgeniia Diachek"'
Autor:
Francis Mollica, Matthew Siegelman, Evgeniia Diachek, Steven T. Piantadosi, Zachary Mineroff, Richard Futrell, Hope Kean, Peng Qian, Evelina Fedorenko
Publikováno v:
Neurobiology of Language, Vol 1, Iss 1, Pp 104-134 (2020)
AbstractThe frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the computations that these language areas support remain debated. Two key features of sente
Externí odkaz:
https://doaj.org/article/9d19bc33d4254b6db7a99572e65493a6
Autor:
Evgeniia Diachek, Brown-Schmidt, Sarah
The previous experiment examined the effect of adjective modifiers on memory for distinct object features. In our paradigm, participants studied images of clothing items that varied on two distinct features (e.g., sleeve length and dress length). Sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5ec8760fe7983a128d9cf76f559918e
Publikováno v:
J Neurosci
Aside from the language-selective left-lateralized fronto-temporal network, language comprehension sometimes additionally recruits a domain-general bilateral fronto-parietal network implicated in executive functions: the multiple demand (MD) network.
Autor:
Hope Kean, Francis Mollica, Zachary Mineroff, Evgeniia Diachek, Peng Qian, Evelina Fedorenko, Steven Piantadosi, Richard Futrell, Matthew Siegelman
Publikováno v:
Mollica, F, Siegelman, M, Diachek, E, Piantadosi, S T, Mineroff, Z, Futrell, R, Kean, H, Qian, P & Fedorenko, E 2020, ' Composition is the Core Driver of the Language-selective Network ', Neurobiology of Language, vol. 1, no. 1, pp. 104-134 . https://doi.org/10.1162/nol_a_00005
The frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the computations that these language areas support remain debated. Two key features of sentences are
Publikováno v:
AJNR. American journal of neuroradiology. 43(10)
Functional MR imaging is widely used for preoperative language assessment in candidates for resective neurosurgery. Language mapping paradigms that are adaptive to participant performance have the potential to engage the language network more robustl