[HTML][HTML] Computational analysis on verbal fluency reveals heterogeneity in subjective language interests and brain structure

F Zengaffinen, A Stahnke, S Furger, R Wiest… - Neuroimage …, 2023 - Elsevier
Abstract Language is an essential higher cognitive function in humans and is often affected
by psychiatric and neurological disorders. Objective measures like the verbal fluency test …

[引用][C] 语言理解中的语义加工: 不同模态神经影像的研究

王穗苹, 黄健 - 生理学报, 2019

Neural indices of structured sentence representation: State of the art

E Lau - Psychology of learning and motivation, 2018 - Elsevier
Natural language is characterized by structured, hierarchical relationships between
morphemes, some of which can span an unbounded amount of intervening material …

An integrated neural decoder of linguistic and experiential meaning

AJ Anderson, JR Binder, L Fernandino… - Journal of …, 2019 - Soc Neuroscience
The brain is thought to combine linguistic knowledge of words and nonlinguistic knowledge
of their referents to encode sentence meaning. However, functional neuroimaging studies …

[PDF][PDF] Proceedings of the NAACL HLT 2010 First Workshop on Computational Neurolinguistics

B Murphy, KK Chang, A Korhonen - … of the NAACL HLT 2010 First …, 2010 - aclanthology.org
This is the first workshop to be held on this emerging topic, which integrates recent
advances in computational linguistics and cognitive neuroscience with the latest methods …

Traces of meaning itself: Encoding distributional word vectors in brain activity

J Sassenhagen, CJ Fiebach - Neurobiology of language, 2020 - direct.mit.edu
How is semantic information stored in the human mind and brain? Some philosophers and
cognitive scientists argue for vectorial representations of concepts, where the meaning of a …

Probing word syntactic representations in the brain by a feature elimination method

X Zhang, S Wang, N Lin, J Zhang, C Zong - Proceedings of the AAAI …, 2022 - ojs.aaai.org
Neuroimaging studies have identified multiple brain regions that are associated with
semantic and syntactic processing when comprehending language. However, existing …

Conceptual structure coheres in human cognition but not in large language models

S Suresh, K Mukherjee, X Yu, WC Huang… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Sensory modality-independent activation of the brain network for language

S Arana, A Marquand, A Hultén, P Hagoort… - Journal of …, 2020 - Soc Neuroscience
The meaning of a sentence can be understood, whether presented in written or spoken form.
Therefore, it is highly probable that brain processes supporting language comprehension …

Neurocomputational models of language processing

JT Hale, L Campanelli, J Li, S Bhattasali… - Annual Review of …, 2022 - annualreviews.org
Efforts to understand the brain bases of language face the Mapping Problem: At what level
do linguistic computations and representations connect to human neurobiology? We review …