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Sustained Activity Mechanisms for Neurally Encoding Linguistic Structure

Sustained Activity Mechanisms for Neurally Encoding Linguistic Structure
神经编码语言结构的持续活动机制
批准号:
1749407
负责人:
Ellen Lau
金额:
$38.66万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2024-02-29

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中文摘要
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英文摘要
The project will examine how the human brain implements the short-term memory representations necessary for comprehending language. In particular, the proposed experiments will investigate how sustained increases in neural activity contribute to language understanding, by recording brain activity as adults comprehend structured sentences. In so doing, this work will speak to questions about the role of sustained neural activity in short-term memory in cognition more broadly, which is currently the subject of much debate in the field. The basic research proposed here will ultimately pave the way for a better understanding of the language deficits associated with working memory problems in neurocognitive disorders such as aphasia and schizophrenia, as well as providing more fine-grained neural measures for evaluating language comprehension abilities in populations undergoing first and second language acquisition. The project will also provide numerous training opportunities for students in a technical and highly interdisciplinary research area that draws upon the fields of linguistics, cognitive psychology, computational linguistics, and cognitive neuroscience. A key methodological element of the current project is the use of multimodal neuroimaging, which integrates data from a range of techniques (electroencephalography, magnetoencephalography, and functional MRI) in order to precisely identify relevant neural activity both in time and in brain space. These techniques are used to evaluate prior proposals that sustained activity in several brain regions (left inferior frontal cortex and left posterior temporal cortex) is what allows humans to represent relations between different parts of a sentence during language comprehension. Critically, the project builds on foundational work from linguistics and computational linguistics to devise structured language materials that can effectively probe different hypotheses about these neural mechanisms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(12)
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科研奖励(0)
会议论文
DOI: 10.1177/02676583231199426
发表时间: 2023-10-12
期刊: SECOND LANGUAGE RESEARCH
影响因子: 2.4
作者: [Liao,Chia-Hsuan, Lau,Ellen]
通讯作者: Lau,Ellen
Moving away from lexicalism in psycho- and neuro-linguistics
远离心理语言学和神经语言学中的词汇主义
DOI: 10.3389/flang.2023.1125127
发表时间: 2023
期刊: Frontiers in Language Sciences
影响因子: --
作者: [Krauska, Alexandra, Lau, Ellen]
通讯作者: Lau, Ellen
fMRI evidence that left posterior temporal cortex contributes to N400 effects of predictability independent of congruity
fMRI 证据表明左后颞叶皮层有助于独立于一致性的可预测性的 N400 效应
DOI: 10.1016/j.bandl.2019.104697
发表时间: 2019
期刊: Brain and Language
影响因子: 2.5
作者: [Lau, Ellen F., Namyst, Anna]
通讯作者: Namyst, Anna
Processing adjunct control: Evidence on the use of structural information and prediction in reference resolution
处理辅助控制:在参考分辨率中使用结构信息和预测的证据
DOI: 10.5334/gjgl.1133
发表时间: 2020
期刊: Glossa: a journal of general linguistics
影响因子: --
作者: [Green, Jeffrey J., McCourt, Michael, Lau, Ellen, Williams, Alexander]
通讯作者: Williams, Alexander
9
    Doctoral Dissertation Research: Morphosyntactic and Interpretive Dependency Formation in Agreement Attraction
    海外基金