• 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

全对全中间神经元网络中的突发γ同步

Emergent gamma synchrony in all-to-all interneuronal networks.

作者信息

Ratnadurai-Giridharan Shivakeshavan, Khargonekar Pramod P, Talathi Sachin S

机构信息

J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida Gainesville, FL, USA.

Electrical and Computer Engineering, University of Florida Gainesville, FL, USA.

出版信息

Front Comput Neurosci. 2015 Oct 13;9:127. doi: 10.3389/fncom.2015.00127. eCollection 2015.

DOI:10.3389/fncom.2015.00127
PMID:26528174
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4602139/
Abstract

We investigate the emergence of in-phase synchronization in a heterogeneous network of coupled inhibitory interneurons in the presence of spike timing dependent plasticity (STDP). Using a simple network of two mutually coupled interneurons (2-MCI), we first study the effects of STDP on in-phase synchronization. We demonstrate that, with STDP, the 2-MCI network can evolve to either a state of stable 1:1 in-phase synchronization or exhibit multiple regimes of higher order synchronization states. We show that the emergence of synchronization induces a structural asymmetry in the 2-MCI network such that the synapses onto the high frequency firing neurons are potentiated, while those onto the low frequency firing neurons are de-potentiated, resulting in the directed flow of information from low frequency firing neurons to high frequency firing neurons. Finally, we demonstrate that the principal findings from our analysis of the 2-MCI network contribute to the emergence of robust synchronization in the Wang-Buzsaki network (Wang and Buzsáki, 1996) of all-to-all coupled inhibitory interneurons (100-MCI) for a significantly larger range of heterogeneity in the intrinsic firing rate of the neurons in the network. We conclude that STDP of inhibitory synapses provide a viable mechanism for robust neural synchronization.

摘要

我们研究了在存在尖峰时间依赖可塑性(STDP)的情况下,耦合抑制性中间神经元的异质网络中同相同步的出现。使用由两个相互耦合的中间神经元组成的简单网络(2-MCI),我们首先研究STDP对同相同步的影响。我们证明,在STDP作用下,2-MCI网络可以演化为稳定的1:1同相同步状态,或者展现出多种高阶同步状态。我们表明,同步的出现会在2-MCI网络中诱导出一种结构不对称性,使得高频发放神经元上的突触被增强,而低频发放神经元上的突触被减弱,从而导致信息从低频发放神经元向高频发放神经元的定向流动。最后,我们证明,我们对2-MCI网络分析的主要发现有助于在全对全耦合抑制性中间神经元(100-MCI)的王-布萨克网络(Wang和Buzsáki,1996)中,在网络中神经元固有发放率的显著更大范围内出现稳健同步。我们得出结论,抑制性突触的STDP为稳健的神经同步提供了一种可行的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/e68fab0c7f8e/fncom-09-00127-g0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/64a1cfec9463/fncom-09-00127-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/9f9a71df0672/fncom-09-00127-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/05774974eb35/fncom-09-00127-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/946df779b89a/fncom-09-00127-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/3e27f3a1ebb2/fncom-09-00127-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/421b2f768d51/fncom-09-00127-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/0be91c71f803/fncom-09-00127-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/06cf4c0c63dc/fncom-09-00127-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/20981ec6b4f5/fncom-09-00127-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/ebc5c72de88d/fncom-09-00127-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/3c24b031ac4a/fncom-09-00127-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/e68fab0c7f8e/fncom-09-00127-g0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/64a1cfec9463/fncom-09-00127-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/9f9a71df0672/fncom-09-00127-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/05774974eb35/fncom-09-00127-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/946df779b89a/fncom-09-00127-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/3e27f3a1ebb2/fncom-09-00127-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/421b2f768d51/fncom-09-00127-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/0be91c71f803/fncom-09-00127-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/06cf4c0c63dc/fncom-09-00127-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/20981ec6b4f5/fncom-09-00127-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/ebc5c72de88d/fncom-09-00127-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/3c24b031ac4a/fncom-09-00127-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d3c/4602139/e68fab0c7f8e/fncom-09-00127-g0012.jpg

相似文献

1
Emergent gamma synchrony in all-to-all interneuronal networks.全对全中间神经元网络中的突发γ同步
Front Comput Neurosci. 2015 Oct 13;9:127. doi: 10.3389/fncom.2015.00127. eCollection 2015.
2
Spike timing dependent plasticity promotes synchrony of inhibitory networks in the presence of heterogeneity.在存在异质性的情况下,尖峰时间依赖性可塑性促进抑制性网络的同步性。
J Comput Neurosci. 2008 Oct;25(2):262-81. doi: 10.1007/s10827-008-0077-7. Epub 2008 Feb 23.
3
Resonant Interneurons Can Increase Robustness of Gamma Oscillations.共振中间神经元可增强伽马振荡的稳健性。
J Neurosci. 2015 Nov 25;35(47):15682-95. doi: 10.1523/JNEUROSCI.2601-15.2015.
4
Long-range synchronization of gamma and beta oscillations and the plasticity of excitatory and inhibitory synapses: a network model.γ和β振荡的长程同步以及兴奋性和抑制性突触的可塑性:一个网络模型
J Neurophysiol. 2002 Oct;88(4):1634-54. doi: 10.1152/jn.2002.88.4.1634.
5
Does spike-timing-dependent synaptic plasticity couple or decouple neurons firing in synchrony?时相关突触可塑性是否会使同步发射的神经元耦合或解耦?
Front Comput Neurosci. 2012 Aug 21;6:55. doi: 10.3389/fncom.2012.00055. eCollection 2012.
6
Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.具有尖峰时间依赖可塑性的小世界神经网络中的随机尖峰同步。
Neural Netw. 2018 Jan;97:92-106. doi: 10.1016/j.neunet.2017.09.016. Epub 2017 Oct 12.
7
Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks.振荡驱动的峰时依赖可塑性允许抑制性中间神经元网络中进行多种重叠模式识别。
Int J Neural Syst. 2016 Aug;26(5):1650020. doi: 10.1142/S0129065716500209. Epub 2016 Apr 15.
8
Intrinsic Cellular Properties and Connectivity Density Determine Variable Clustering Patterns in Randomly Connected Inhibitory Neural Networks.内在细胞特性和连接密度决定随机连接抑制性神经网络中的可变聚类模式。
Front Neural Circuits. 2016 Oct 20;10:82. doi: 10.3389/fncir.2016.00082. eCollection 2016.
9
Delay-dependent transitions of phase synchronization and coupling symmetry between neurons shaped by spike-timing-dependent plasticity.由尖峰时间依赖性可塑性塑造的神经元之间相位同步和耦合对称性的延迟依赖性转变。
Cogn Neurodyn. 2023 Apr;17(2):523-536. doi: 10.1007/s11571-022-09850-x. Epub 2022 Jul 23.
10
Synchronization in STDP-driven memristive neural networks with time-varying topology.时变拓扑结构下 STDP 驱动的忆阻神经网络中的同步。
J Biol Phys. 2023 Dec;49(4):483-507. doi: 10.1007/s10867-023-09642-2. Epub 2023 Sep 1.

引用本文的文献

1
Spike-Timing Dependent Plasticity Effect on the Temporal Patterning of Neural Synchronization.尖峰时间依赖性可塑性对神经同步时间模式的影响。
Front Comput Neurosci. 2020 Jun 12;14:52. doi: 10.3389/fncom.2020.00052. eCollection 2020.
2
Rhythmogenesis evolves as a consequence of long-term plasticity of inhibitory synapses.节律产生是抑制性突触的长期可塑性的结果。
Sci Rep. 2018 Aug 29;8(1):13050. doi: 10.1038/s41598-018-31412-7.

本文引用的文献

1
Synchrony with shunting inhibition in a feedforward inhibitory network.前馈抑制网络中与分流抑制的同步性。
J Comput Neurosci. 2010 Apr;28(2):305-21. doi: 10.1007/s10827-009-0210-2. Epub 2010 Feb 6.
2
Predicting synchrony in heterogeneous pulse coupled oscillators.预测异质脉冲耦合振荡器中的同步性。
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Aug;80(2 Pt 1):021908. doi: 10.1103/PhysRevE.80.021908. Epub 2009 Aug 11.
3
Spike timing dependent plasticity promotes synchrony of inhibitory networks in the presence of heterogeneity.
在存在异质性的情况下,尖峰时间依赖性可塑性促进抑制性网络的同步性。
J Comput Neurosci. 2008 Oct;25(2):262-81. doi: 10.1007/s10827-008-0077-7. Epub 2008 Feb 23.
4
Spike timing-dependent plasticity: a Hebbian learning rule.尖峰时间依赖性可塑性:一种赫布学习规则。
Annu Rev Neurosci. 2008;31:25-46. doi: 10.1146/annurev.neuro.31.060407.125639.
5
Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks.抑制性中间神经元网络中同步γ振荡的突触机制
Nat Rev Neurosci. 2007 Jan;8(1):45-56. doi: 10.1038/nrn2044.
6
Spike-timing-dependent plasticity of inhibitory synapses in the entorhinal cortex.内嗅皮层中抑制性突触的尖峰时间依赖性可塑性
J Neurophysiol. 2006 Dec;96(6):3305-13. doi: 10.1152/jn.00551.2006. Epub 2006 Aug 23.
7
Contribution of individual spikes in burst-induced long-term synaptic modification.爆发诱导的长期突触修饰中单个尖峰的作用。
J Neurophysiol. 2006 Mar;95(3):1620-9. doi: 10.1152/jn.00910.2005. Epub 2005 Nov 30.
8
Chemical and electrical synapses perform complementary roles in the synchronization of interneuronal networks.化学突触和电突触在中间神经元网络的同步中发挥着互补作用。
Proc Natl Acad Sci U S A. 2004 Oct 26;101(43):15482-7. doi: 10.1073/pnas.0406343101. Epub 2004 Oct 15.
9
Phase resetting and phase locking in hybrid circuits of one model and one biological neuron.一个模型神经元与一个生物神经元混合电路中的相位重置与相位锁定
Biophys J. 2004 Oct;87(4):2283-98. doi: 10.1529/biophysj.104.046193.
10
Biophysical model of synaptic plasticity dynamics.突触可塑性动力学的生物物理模型。
Biol Cybern. 2003 Sep;89(3):214-26. doi: 10.1007/s00422-003-0422-x. Epub 2003 Jul 31.