• 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

抑制性子网络对视觉皮层调制的不同贡献:工作记忆的计算模型

Differential Contributions of Inhibitory Subnetwork to Visual Cortical Modulations Identified Computational Model of Working Memory.

作者信息

Nesse William H, Bahmani Zahra, Clark Kelsey, Noudoost Behrad

机构信息

Department of Mathematics, University of Utah, Salt Lake City, UT, United States.

Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran.

出版信息

Front Comput Neurosci. 2021 May 20;15:632730. doi: 10.3389/fncom.2021.632730. eCollection 2021.

DOI:10.3389/fncom.2021.632730
PMID:34093155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8173146/
Abstract

Extrastriate visual neurons show no firing rate change during a working memory (WM) task in the absence of sensory input, but both αβ oscillations and spike phase locking are enhanced, as is the gain of sensory responses. This lack of change in firing rate is at odds with many models of WM, or attentional modulation of sensory networks. In this article we devised a computational model in which this constellation of results can be accounted for via selective activation of inhibitory subnetworks by a top-down working memory signal. We confirmed the model prediction of selective inhibitory activation by segmenting cells in the experimental neural data into putative excitatory and inhibitory cells. We further found that this inhibitory activation plays a dual role in influencing excitatory cells: it both modulates the inhibitory tone of the network, which underlies the enhanced sensory gain, and also produces strong spike-phase entrainment to emergent network oscillations. Using a phase oscillator model we were able to show that inhibitory tone is principally modulated through inhibitory network gain saturation, while the phase-dependent efficacy of inhibitory currents drives the phase locking modulation. The dual contributions of the inhibitory subnetwork to oscillatory and non-oscillatory modulations of neural activity provides two distinct ways for WM to recruit sensory areas, and has relevance to theories of cortical communication.

摘要

在没有感觉输入的工作记忆(WM)任务期间,纹外视觉神经元的放电率没有变化,但αβ振荡和尖峰相位锁定都增强了,感觉反应的增益也是如此。这种放电率缺乏变化与许多工作记忆模型或感觉网络的注意力调制不一致。在本文中,我们设计了一个计算模型,通过自上而下的工作记忆信号对抑制性子网络的选择性激活,可以解释这一系列结果。我们通过将实验神经数据中的细胞分为假定的兴奋性和抑制性细胞,证实了模型对选择性抑制激活的预测。我们进一步发现,这种抑制性激活在影响兴奋性细胞方面发挥双重作用:它既调节网络的抑制性基调,这是增强感觉增益的基础,又对出现的网络振荡产生强烈的尖峰相位夹带。使用相位振荡器模型,我们能够表明抑制性基调主要通过抑制性网络增益饱和来调节,而抑制性电流的相位依赖性功效驱动相位锁定调制。抑制性子网络对神经活动的振荡和非振荡调制的双重贡献为工作记忆招募感觉区域提供了两种不同的方式,并且与皮层通信理论相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/081ced0b0f81/fncom-15-632730-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/8dd2db03b802/fncom-15-632730-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/4dce65747127/fncom-15-632730-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/47c8c64f5c7f/fncom-15-632730-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/081ced0b0f81/fncom-15-632730-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/8dd2db03b802/fncom-15-632730-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/4dce65747127/fncom-15-632730-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/47c8c64f5c7f/fncom-15-632730-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f904/8173146/081ced0b0f81/fncom-15-632730-g0005.jpg

相似文献

1
Differential Contributions of Inhibitory Subnetwork to Visual Cortical Modulations Identified Computational Model of Working Memory.抑制性子网络对视觉皮层调制的不同贡献:工作记忆的计算模型
Front Comput Neurosci. 2021 May 20;15:632730. doi: 10.3389/fncom.2021.632730. eCollection 2021.
2
Prefrontal working memory signal controls phase-coded information within extrastriate cortex.前额叶工作记忆信号控制纹外皮层内的相位编码信息。
bioRxiv. 2025 Feb 28:2024.08.28.610140. doi: 10.1101/2024.08.28.610140.
3
Activity Stabilization in a Population Model of Working Memory by Sinusoidal and Noisy Inputs.通过正弦和噪声输入稳定工作记忆群体模型中的活动。
Front Neural Circuits. 2021 Apr 21;15:647944. doi: 10.3389/fncir.2021.647944. eCollection 2021.
4
Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model.利用局部皮质网络模型理解 LFPs 和 EEGs 的尖峰率与 delta/gamma 频带之间的关系。
Neuroimage. 2010 Sep;52(3):956-72. doi: 10.1016/j.neuroimage.2009.12.040. Epub 2009 Dec 21.
5
Stimulus Phase Locking of Cortical Oscillations for Rhythmic Tone Sequences in Rats.大鼠中节律性音调序列的皮质振荡刺激相位锁定
Front Neural Circuits. 2017 Jan 26;11:2. doi: 10.3389/fncir.2017.00002. eCollection 2017.
6
Information representation in an oscillating neural field model modulated by working memory signals.由工作记忆信号调制的振荡神经场模型中的信息表征。
Front Comput Neurosci. 2024 Jan 18;17:1253234. doi: 10.3389/fncom.2023.1253234. eCollection 2023.
7
Divisive normalization and neuronal oscillations in a single hierarchical framework of selective visual attention.选择性视觉注意的单一分层框架中的分裂归一化和神经元振荡。
Front Neural Circuits. 2012 May 4;6:22. doi: 10.3389/fncir.2012.00022. eCollection 2012.
8
Excitatory Inputs Determine Phase-Locking Strength and Spike-Timing of CA1 Stratum Oriens/Alveus Parvalbumin and Somatostatin Interneurons during Intrinsically Generated Hippocampal Theta Rhythm.兴奋性输入决定海马内源性θ节律期间CA1海马伞/海马槽小白蛋白和生长抑素中间神经元的锁相强度和峰电位时间。
J Neurosci. 2016 Jun 22;36(25):6605-22. doi: 10.1523/JNEUROSCI.3951-13.2016.
9
Phase relationships support a role for coordinated activity in the indirect pathway in organizing slow oscillations in basal ganglia output after loss of dopamine.相位关系支持间接通路中的协同活动在多巴胺缺失后组织基底神经节输出中的慢振荡方面发挥作用。
Neuroscience. 2007 Jan 19;144(2):762-76. doi: 10.1016/j.neuroscience.2006.10.006. Epub 2006 Nov 15.
10
Gamma oscillations mediate stimulus competition and attentional selection in a cortical network model.γ振荡在一个皮质网络模型中介导刺激竞争和注意力选择。
Proc Natl Acad Sci U S A. 2008 Nov 18;105(46):18023-8. doi: 10.1073/pnas.0809511105. Epub 2008 Nov 12.

引用本文的文献

1
Information representation in an oscillating neural field model modulated by working memory signals.由工作记忆信号调制的振荡神经场模型中的信息表征。
Front Comput Neurosci. 2024 Jan 18;17:1253234. doi: 10.3389/fncom.2023.1253234. eCollection 2023.
2
Prefrontal activity sharpens spatial sensitivity of extrastriate neurons.前额叶活动增强了纹外神经元的空间敏感性。
bioRxiv. 2023 Oct 27:2023.10.25.564095. doi: 10.1101/2023.10.25.564095.
3
A recruitment through coherence theory of working memory.通过工作记忆的相干理论进行招聘。

本文引用的文献

1
Spike Timing in the Attention Network Predicts Behavioral Outcome Prior to Target Selection.注意网络中的尖峰时间在目标选择之前预测行为结果。
Neuron. 2021 Jan 6;109(1):177-188.e4. doi: 10.1016/j.neuron.2020.09.039. Epub 2020 Oct 23.
2
Principles of Corticocortical Communication: Proposed Schemes and Design Considerations.皮质间通讯原理:方案建议与设计考量。
Trends Neurosci. 2020 Sep;43(9):725-737. doi: 10.1016/j.tins.2020.07.001. Epub 2020 Aug 5.
3
Circuit Models of Low-Dimensional Shared Variability in Cortical Networks.
Prog Neurobiol. 2023 Sep;228:102491. doi: 10.1016/j.pneurobio.2023.102491. Epub 2023 Jun 29.
4
Transcerebral information coordination in directional hippocampus-prefrontal cortex network during working memory based on bimodal neural electrical signals.基于双峰神经电信号的工作记忆期间定向海马-前额叶皮层网络中的经脑信息协调
Cogn Neurodyn. 2022 Dec;16(6):1409-1425. doi: 10.1007/s11571-022-09792-4. Epub 2022 Feb 28.
皮层网络中低维共享可变性的电路模型。
Neuron. 2019 Jan 16;101(2):337-348.e4. doi: 10.1016/j.neuron.2018.11.034. Epub 2018 Dec 20.
4
Concurrent influence of top-down and bottom-up inputs on correlated activity of Macaque extrastriate neurons.自上而下和自下而上输入对猕猴外纹状皮层神经元相关活动的并发影响。
Nat Commun. 2018 Dec 19;9(1):5393. doi: 10.1038/s41467-018-07816-4.
5
Portraits of communication in neuronal networks.神经元网络中的交流特征。
Nat Rev Neurosci. 2019 Feb;20(2):117-127. doi: 10.1038/s41583-018-0094-0.
6
Attention Configures Synchronization Within Local Neuronal Networks for Processing of the Behaviorally Relevant Stimulus.注意调节局部神经元网络中的同步,以处理与行为相关的刺激。
Front Neural Circuits. 2018 Aug 29;12:71. doi: 10.3389/fncir.2018.00071. eCollection 2018.
7
The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability.感觉皮层的动力学机制:单个刺激调谐吸引子周围的稳定动力学解释了噪声变异性模式。
Neuron. 2018 May 16;98(4):846-860.e5. doi: 10.1016/j.neuron.2018.04.017.
8
Working Memory Enhances Cortical Representations via Spatially Specific Coordination of Spike Times.工作记忆通过时空特异性的尖峰时间协调增强皮质代表。
Neuron. 2018 Feb 21;97(4):967-979.e6. doi: 10.1016/j.neuron.2018.01.012. Epub 2018 Feb 1.
9
Beyond the Status Quo: A Role for Beta Oscillations in Endogenous Content (Re)Activation.超越现状:β 振荡在内源性内容(再)激活中的作用。
eNeuro. 2017 Aug 2;4(4). doi: 10.1523/ENEURO.0170-17.2017. eCollection 2017 Jul-Aug.
10
Attentional modulation of neuronal variability in circuit models of cortex.皮质回路模型中神经元变异性的注意力调制
Elife. 2017 Jun 7;6:e23978. doi: 10.7554/eLife.23978.