Composition is the core driver of the language-selective network

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 typically confounded in natural linguistic input:...

Full description

Bibliographic Details
Main Authors: Mollica, Francis (Author), Siegelman, Matthew (Author), Diachek, Evgeniia (Author), Piantadosi, Steven Thomas (Author), Mineroff, Zachary A (Author), Futrell, Richard Landy Jones (Author), Kean, Hope (Author), Qian, Peng (Author), Fedorenko, Evelina G (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: MIT Press, 2020-08-13T21:21:24Z.
Subjects:
Online Access:Get fulltext