Non-literal language processing is jointly supported by the language and theory of mind networks: evidence from a novel meta-analytic fMRI approach

M Hauptman, I Blank, E Fedorenko - Cortex, 2023 - Elsevier
Going beyond the literal meaning of language is key to communicative success. However,
the mechanisms that support non-literal inferences remain debated. Using a novel meta …

[HTML][HTML] The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli

Y Sueoka, A Paunov, A Tanner, IA Blank… - Neurobiology of …, 2024 - direct.mit.edu
The language network, comprised of brain regions in the left frontal and temporal cortex,
responds robustly and reliably during language comprehension but shows little or no …

The role of language in broader human cognition: evidence from neuroscience

AA Ivanova - 2022 - dspace.mit.edu
Many philosophers, psychologists, biologists, computer scientists, and linguists have argued
that language processing serves as a foundation for human cognition. However, evidence …

Tracking components of bilingual language control in speech production: An fMRI study using functional localizers

A Wolna, J Szewczyk, M Diaz, A Domagalik… - Neurobiology of …, 2024 - direct.mit.edu
When bilingual speakers switch back to speaking in their native language (L1) after having
used their second language (L2), they often experience difficulty in retrieving words in their …

Linguistic inputs must be syntactically parsable to fully engage the language network

C Kauf, HS Kim, EJ Lee, N Jhingan, JS She… - bioRxiv, 2024 - biorxiv.org
Human language comprehension is remarkably robust to ill-formed inputs (eg, word
transpositions). This robustness has led some to argue that syntactic parsing is largely an …