• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

序列处理中的层次结构:如何衡量它及其神经实现。

Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation.

机构信息

Department of Psychology, Department of Linguistics, Stockholm University.

Swedish Collegium for Advanced Study (SCAS).

出版信息

Top Cogn Sci. 2020 Jul;12(3):910-924. doi: 10.1111/tops.12442. Epub 2019 Jul 30.

DOI:10.1111/tops.12442
PMID:31364310
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7496673/
Abstract

In many domains of human cognition, hierarchically structured representations are thought to play a key role. In this paper, we start with some foundational definitions of key phenomena like "sequence" and "hierarchy," and then outline potential signatures of hierarchical structure that can be observed in behavioral and neuroimaging data. Appropriate behavioral methods include classic ones from psycholinguistics along with some from the more recent artificial grammar learning and sentence processing literature. We then turn to neuroimaging evidence for hierarchical structure with a focus on the functional MRI literature. We conclude that, although a broad consensus exists about a role for a neural circuit incorporating the inferior frontal gyrus, the superior temporal sulcus, and the arcuate fasciculus, considerable uncertainty remains about the precise computational function(s) of this circuitry. An explicit theoretical framework, combined with an empirical approach focusing on distinguishing between plausible alternative hypotheses, will be necessary for further progress.

摘要

在人类认知的许多领域中,层次结构的表示被认为起着关键作用。在本文中,我们首先对“序列”和“层次结构”等关键现象进行了一些基本定义,然后概述了可以在行为和神经影像学数据中观察到的潜在层次结构特征。适当的行为方法包括来自心理语言学的经典方法以及来自最近的人工语法学习和句子处理文献中的一些方法。然后,我们转向神经影像学证据,重点关注功能磁共振成像文献。我们的结论是,尽管存在关于包含下额叶回、颞上回和弓状束的神经回路在层次结构中的作用的广泛共识,但对于该回路的确切计算功能仍存在相当大的不确定性。明确的理论框架,结合关注区分合理替代假设的实证方法,对于进一步的进展是必要的。

相似文献

1
Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation.序列处理中的层次结构:如何衡量它及其神经实现。
Top Cogn Sci. 2020 Jul;12(3):910-924. doi: 10.1111/tops.12442. Epub 2019 Jul 30.
2
Hierarchical syntactic processing is beyond mere associating: Functional magnetic resonance imaging evidence from a novel artificial grammar.层次化句法处理不仅仅是关联:来自新颖人工语法的功能磁共振成像证据。
Hum Brain Mapp. 2021 Jul;42(10):3253-3268. doi: 10.1002/hbm.25432. Epub 2021 Apr 6.
3
Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions.后颞中回损伤导致视觉中的递归层次嵌入受损。
Brain. 2019 Oct 1;142(10):3217-3229. doi: 10.1093/brain/awz242.
4
On Empirical Methodology, Constraints, and Hierarchy in Artificial Grammar Learning.关于人工语法学习中的经验方法论、约束和层次结构。
Top Cogn Sci. 2020 Jul;12(3):942-956. doi: 10.1111/tops.12441. Epub 2019 Sep 24.
5
Reading fluent speech from talking faces: typical brain networks and individual differences.从说话的面部读取流畅语音:典型脑网络及个体差异
J Cogn Neurosci. 2005 Jun;17(6):939-53. doi: 10.1162/0898929054021175.
6
Neural networks for sentence comprehension and production: An ALE-based meta-analysis of neuroimaging studies.基于 ALE 的神经影像学研究元分析:句子理解和生成的神经网络。
Hum Brain Mapp. 2019 Jun 1;40(8):2275-2304. doi: 10.1002/hbm.24523. Epub 2019 Jan 28.
7
Strength of Temporal White Matter Pathways Predicts Semantic Learning.颞叶白质通路的强度可预测语义学习。
J Neurosci. 2017 Nov 15;37(46):11101-11113. doi: 10.1523/JNEUROSCI.1720-17.2017. Epub 2017 Oct 12.
8
Shared neural resources of rhythm and syntax: An ALE meta-analysis.节律与句法的共享神经资源:一项基于激活似然估计的荟萃分析。
Neuropsychologia. 2020 Feb 3;137:107284. doi: 10.1016/j.neuropsychologia.2019.107284. Epub 2019 Nov 26.
9
Neural substrates of word category information as the basis of syntactic processing.神经词类信息基础作为句法处理的基础。
Hum Brain Mapp. 2019 Feb 1;40(2):451-464. doi: 10.1002/hbm.24386. Epub 2018 Sep 21.
10
Decomposing metaphor processing at the cognitive and neural level through functional magnetic resonance imaging.通过功能磁共振成像分解隐喻处理的认知和神经水平。
Brain Res Bull. 2011 Oct 10;86(3-4):203-16. doi: 10.1016/j.brainresbull.2011.07.015. Epub 2011 Jul 23.

引用本文的文献

1
Acquisition and Utilization of Recursive Rules in Motor Sequence Generation.运动序列生成中递归规则的获取与运用。
Cogn Sci. 2025 Sep;49(9):e70108. doi: 10.1111/cogs.70108.
2
Exploring the neurobiology of Merge at a basic level: insights from a novel artificial grammar paradigm.从基础层面探索融合的神经生物学:来自一种新型人工语法范式的见解。
Front Psychol. 2023 May 23;14:1151518. doi: 10.3389/fpsyg.2023.1151518. eCollection 2023.
3
What neural oscillations can and cannot do for syntactic structure building.神经振荡在句法结构构建方面的作用及局限性

本文引用的文献

1
Supramodal Sentence Processing in the Human Brain: fMRI Evidence for the Influence of Syntactic Complexity in More Than 200 Participants.人类大脑中的跨模态句子处理:超过200名参与者的功能磁共振成像证据表明句法复杂性的影响
Neurobiol Lang (Camb). 2022 Sep 29;3(4):575-598. doi: 10.1162/nol_a_00076. eCollection 2022.
2
Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions.后颞中回损伤导致视觉中的递归层次嵌入受损。
Brain. 2019 Oct 1;142(10):3217-3229. doi: 10.1093/brain/awz242.
3
Recursion in action: An fMRI study on the generation of new hierarchical levels in motor sequences.
Nat Rev Neurosci. 2023 Feb;24(2):113-128. doi: 10.1038/s41583-022-00659-5. Epub 2022 Dec 2.
4
On reappearance and complexity in musical calling.鸣禽叫声再现与复杂性。
PLoS One. 2021 Dec 17;16(12):e0218006. doi: 10.1371/journal.pone.0218006. eCollection 2021.
5
Reply to comment on "Nonadjacent dependency processing in monkeys, apes, and humans".对《猴子、猿类和人类的非相邻依存加工》评论的回复
Sci Adv. 2021 Jul 21;7(30). doi: 10.1126/sciadv.abj1517. Print 2021 Jul.
6
Recursive music elucidates neural mechanisms supporting the generation and detection of melodic hierarchies.递归音乐阐明了支持旋律层次生成和检测的神经机制。
Brain Struct Funct. 2020 Sep;225(7):1997-2015. doi: 10.1007/s00429-020-02105-7. Epub 2020 Jun 26.
7
Using Neural Circuit Interrogation in Rodents to Unravel Human Speech Decoding.利用啮齿动物的神经回路探测技术来破解人类言语解码。
Front Neural Circuits. 2020 Jan 30;14:2. doi: 10.3389/fncir.2020.00002. eCollection 2020.
8
Recursion in action: An fMRI study on the generation of new hierarchical levels in motor sequences.递归的作用:一项关于运动序列中新层次生成的 fMRI 研究。
Hum Brain Mapp. 2019 Jun 15;40(9):2623-2638. doi: 10.1002/hbm.24549. Epub 2019 Mar 5.
递归的作用:一项关于运动序列中新层次生成的 fMRI 研究。
Hum Brain Mapp. 2019 Jun 15;40(9):2623-2638. doi: 10.1002/hbm.24549. Epub 2019 Mar 5.
4
Production of Supra-regular Spatial Sequences by Macaque Monkeys.猕猴产生超规则空间序列。
Curr Biol. 2018 Jun 18;28(12):1851-1859.e4. doi: 10.1016/j.cub.2018.04.047. Epub 2018 Jun 7.
5
Structural priming and the representation of language.结构启动与语言的表现。
Behav Brain Sci. 2017 Jan;40:e313. doi: 10.1017/S0140525X17001212.
6
A neuronal retuning hypothesis of sentence-specificity in Broca's area.Broca 区句子特异性的神经元重调假说。
Psychon Bull Rev. 2018 Oct;25(5):1682-1694. doi: 10.3758/s13423-017-1377-6.
7
Reviewing the functional basis of the syntactic Merge mechanism for language: A coordinate-based activation likelihood estimation meta-analysis.回顾语言句法合并机制的功能基础:基于坐标的激活似然估计元分析。
Neurosci Biobehav Rev. 2017 Sep;80:646-656. doi: 10.1016/j.neubiorev.2017.06.011. Epub 2017 Jul 23.
8
Broca's region: A causal role in implicit processing of grammars with crossed non-adjacent dependencies.布洛卡区:在具有交叉非相邻依存关系的语法隐式加工中的因果作用。
Cognition. 2017 Jul;164:188-198. doi: 10.1016/j.cognition.2017.03.010. Epub 2017 Apr 25.
9
Neurophysiological dynamics of phrase-structure building during sentence processing.句子处理过程中短语结构构建的神经生理动力学
Proc Natl Acad Sci U S A. 2017 May 2;114(18):E3669-E3678. doi: 10.1073/pnas.1701590114. Epub 2017 Apr 17.
10
A revival of Homo loquens as a builder of labeled structures: Neurocognitive considerations.作为标记结构构建者的会说话的人类的复兴:神经认知学的思考。
Neurosci Biobehav Rev. 2017 Oct;81(Pt B):213-224. doi: 10.1016/j.neubiorev.2017.01.036. Epub 2017 Mar 17.