[HTML][HTML] Why language processing recruits modality specific brain regions: It is not about understanding words, but about modelling situations

Z Cayol, TA Nazir - Journal of Cognition, 2020 - ncbi.nlm.nih.gov
Whether language comprehension requires the participation of brain structures that evolved
for perception and action has been a subject of intense debate. While brain-imaging …

Flexibility in embodied lexical‐semantic representations

WO Van Dam, M Van Dijk, H Bekkering… - Human brain …, 2012 - Wiley Online Library
According to an embodied view of language comprehension, language concepts are
grounded in our perceptual systems. Evidence for the idea that concepts are grounded in …

A neuroimaging study of semantic representation in first and second languages

X Zhang, J Yang, R Wang, P Li - Language, Cognition and …, 2020 - Taylor & Francis
The current study used functional magnetic resonance imaging (fMRI) to extend the
embodied cognition account of language processing to second language (L2). Twenty L2 …

Does injecting linguistic structure into language models lead to better alignment with brain recordings?

M Abdou, AV González, M Toneva… - arXiv preprint arXiv …, 2021 - arxiv.org
Neuroscientists evaluate deep neural networks for natural language processing as possible
candidate models for how language is processed in the brain. These models are often …

Differential tracking of linguistic vs. mental state content in naturalistic stimuli by language and theory of mind (ToM) brain networks

AM Paunov, IA Blank, O Jouravlev, Z Mineroff… - Neurobiology of …, 2022 - direct.mit.edu
Abstract Language and social cognition, especially the ability to reason about mental states,
known as theory of mind (ToM), are deeply related in development and everyday use …

[PDF][PDF] Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models.

S Suresh, K Mukherjee, L Padua, TT Rogers - CogSci, 2023 - sidsuresh.com
Neural network models of language have long been used as a tool for developing
hypotheses about conceptual representation in the mind and brain. For many years, such …

Word Meaning Representation in Neural Language Models: Lexical Polysemy and Semantic Relationships

AG Soler - 2021 - theses.hal.science
Word embedding representations generated by neural language models encode rich
information about language and the world. In this thesis, we investigate the knowledge …

Semantic features reveal different networks during word processing: An EEG source localization study

M Fahimi Hnazaee, E Khachatryan… - Frontiers in human …, 2018 - frontiersin.org
The neural principles behind semantic category representation are still under debate.
Dominant theories mostly focus on distinguishing concrete from abstract concepts but, in …

Dissociative neural correlates of semantic processing of nouns and verbs in Chinese—A language with minimal inflectional morphology

X Yu, SP Law, Z Han, C Zhu, Y Bi - NeuroImage, 2011 - Elsevier
Numerous studies using various techniques and methodologies have demonstrated
distinctive responses to nouns and verbs both at the behavioral and neurological levels …

Big words, halved brains and small worlds: Complex brain networks of figurative language comprehension

Y Arzouan, S Solomon, M Faust, A Goldstein - Plos one, 2011 - journals.plos.org
Language comprehension is a complex task that involves a wide network of brain regions.
We used topological measures to qualify and quantify the functional connectivity of the …