• 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

规则放电和固有爆发模型神经元中持续活动出现的预测特征。

Predictive features of persistent activity emergence in regular spiking and intrinsic bursting model neurons.

机构信息

Institute of Molecular Biology and Biotechnology-IMBB, Foundation for Research and Technology-Hellas-FORTH, Heraklion, Crete, Greece.

出版信息

PLoS Comput Biol. 2012;8(4):e1002489. doi: 10.1371/journal.pcbi.1002489. Epub 2012 Apr 26.

DOI:10.1371/journal.pcbi.1002489
PMID:22570601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3343116/
Abstract

Proper functioning of working memory involves the expression of stimulus-selective persistent activity in pyramidal neurons of the prefrontal cortex (PFC), which refers to neural activity that persists for seconds beyond the end of the stimulus. The mechanisms which PFC pyramidal neurons use to discriminate between preferred vs. neutral inputs at the cellular level are largely unknown. Moreover, the presence of pyramidal cell subtypes with different firing patterns, such as regular spiking and intrinsic bursting, raises the question as to what their distinct role might be in persistent firing in the PFC. Here, we use a compartmental modeling approach to search for discriminatory features in the properties of incoming stimuli to a PFC pyramidal neuron and/or its response that signal which of these stimuli will result in persistent activity emergence. Furthermore, we use our modeling approach to study cell-type specific differences in persistent activity properties, via implementing a regular spiking (RS) and an intrinsic bursting (IB) model neuron. We identify synaptic location within the basal dendrites as a feature of stimulus selectivity. Specifically, persistent activity-inducing stimuli consist of activated synapses that are located more distally from the soma compared to non-inducing stimuli, in both model cells. In addition, the action potential (AP) latency and the first few inter-spike-intervals of the neuronal response can be used to reliably detect inducing vs. non-inducing inputs, suggesting a potential mechanism by which downstream neurons can rapidly decode the upcoming emergence of persistent activity. While the two model neurons did not differ in the coding features of persistent activity emergence, the properties of persistent activity, such as the firing pattern and the duration of temporally-restricted persistent activity were distinct. Collectively, our results pinpoint to specific features of the neuronal response to a given stimulus that code for its ability to induce persistent activity and predict differential roles of RS and IB neurons in persistent activity expression.

摘要

工作记忆的正常运作涉及前额叶皮层(PFC)锥体神经元中刺激选择性持续活动的表达,这是指在刺激结束后持续数秒的神经活动。PFC 锥体神经元在细胞水平上区分优先输入与中性输入的机制在很大程度上是未知的。此外,存在具有不同放电模式的锥体细胞亚型,如规则放电和内在爆发,这就提出了它们在 PFC 中持续放电中的独特作用是什么的问题。在这里,我们使用分区建模方法来寻找 PFC 锥体神经元传入刺激及其反应的特性中的鉴别特征,这些特征表明哪些刺激将导致持续活动的出现。此外,我们通过实现规则放电(RS)和内在爆发(IB)模型神经元,使用我们的建模方法来研究持续活动特性中的细胞类型特异性差异。我们确定基底树突内的突触位置是刺激选择性的特征。具体来说,与非诱导刺激相比,在两种模型细胞中,持续活动诱导刺激包含位于远离胞体的更远端的激活突触。此外,动作电位(AP)潜伏期和神经元反应的前几个尖峰间隔时间可用于可靠地检测诱导与非诱导输入,这表明下游神经元可以快速解码即将出现的持续活动的潜在机制。虽然两个模型神经元在持续活动出现的编码特征上没有差异,但持续活动的特性,如放电模式和时间限制的持续活动的持续时间是不同的。总的来说,我们的研究结果确定了特定的神经元对给定刺激的反应特征,这些特征可以对其诱导持续活动的能力进行编码,并预测 RS 和 IB 神经元在持续活动表达中的不同作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/77ee37028b44/pcbi.1002489.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/a33434820c8e/pcbi.1002489.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/b4e59e0f4c55/pcbi.1002489.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/471f23a41629/pcbi.1002489.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/b08592fe6120/pcbi.1002489.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/a6fb17971b07/pcbi.1002489.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/4e03b077c4cb/pcbi.1002489.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/d6a273bd335a/pcbi.1002489.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/1717864e042f/pcbi.1002489.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/77ee37028b44/pcbi.1002489.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/a33434820c8e/pcbi.1002489.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/b4e59e0f4c55/pcbi.1002489.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/471f23a41629/pcbi.1002489.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/b08592fe6120/pcbi.1002489.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/a6fb17971b07/pcbi.1002489.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/4e03b077c4cb/pcbi.1002489.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/d6a273bd335a/pcbi.1002489.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/1717864e042f/pcbi.1002489.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c50/3343116/77ee37028b44/pcbi.1002489.g009.jpg

相似文献

1
Predictive features of persistent activity emergence in regular spiking and intrinsic bursting model neurons.规则放电和固有爆发模型神经元中持续活动出现的预测特征。
PLoS Comput Biol. 2012;8(4):e1002489. doi: 10.1371/journal.pcbi.1002489. Epub 2012 Apr 26.
2
Persistent activity in neural networks with dynamic synapses.具有动态突触的神经网络中的持续活动。
PLoS Comput Biol. 2007 Feb 23;3(2):e35. doi: 10.1371/journal.pcbi.0030035. Epub 2007 Jan 9.
3
Modulatory effects of inhibition on persistent activity in a cortical microcircuit model.抑制对皮质微电路模型中持续活动的调制作用。
Front Neural Circuits. 2014 Jan 31;8:7. doi: 10.3389/fncir.2014.00007. eCollection 2014.
4
Computational simulation of the input-output relationship in hippocampal pyramidal cells.海马锥体神经元输入-输出关系的计算模拟
J Comput Neurosci. 2006 Oct;21(2):191-209. doi: 10.1007/s10827-006-8797-z. Epub 2006 Jul 25.
5
Conditional Bistability, a Generic Cellular Mnemonic Mechanism for Robust and Flexible Working Memory Computations.条件双稳态,稳健灵活工作记忆计算的通用细胞记忆机制。
J Neurosci. 2018 May 30;38(22):5209-5219. doi: 10.1523/JNEUROSCI.1992-17.2017. Epub 2018 Apr 30.
6
Phase-locking of bursting neuronal firing to dominant LFP frequency components.爆发性神经元放电与主要局部场电位频率成分的锁相。
Biosystems. 2015 Oct;136:73-9. doi: 10.1016/j.biosystems.2015.08.004. Epub 2015 Aug 21.
7
In vivo whole-cell patch-clamp recording of sensory synaptic responses of cingulate pyramidal neurons to noxious mechanical stimuli in adult mice.在体全细胞膜片钳记录成年小鼠扣带皮层锥体神经元对伤害性机械刺激的感觉突触反应。
Mol Pain. 2010 Sep 28;6:62. doi: 10.1186/1744-8069-6-62.
8
Synaptic efficacy during repetitive activation of excitatory inputs in primate dorsolateral prefrontal cortex.灵长类动物背外侧前额叶皮质兴奋性输入重复激活期间的突触效能
Cereb Cortex. 2004 May;14(5):530-42. doi: 10.1093/cercor/bhh015. Epub 2004 Mar 28.
9
Properties of excitatory synaptic responses in fast-spiking interneurons and pyramidal cells from monkey and rat prefrontal cortex.来自猴和大鼠前额叶皮层的快速放电中间神经元和锥体细胞中兴奋性突触反应的特性。
Cereb Cortex. 2006 Apr;16(4):541-52. doi: 10.1093/cercor/bhj002. Epub 2005 Jul 20.
10
Ion-channel degeneracy and heterogeneities in the emergence of complex spike bursts in CA3 pyramidal neurons.离子通道简并和异质性在 CA3 锥体神经元复杂尖峰爆发中的出现。
J Physiol. 2023 Aug;601(15):3297-3328. doi: 10.1113/JP283539. Epub 2022 Oct 23.

引用本文的文献

1
From Morphology to Computation: How Synaptic Organization Shapes Place Fields in CA1 Pyramidal Neurons.从形态学到计算:突触组织如何塑造CA1锥体神经元中的位置野
bioRxiv. 2025 Jun 2:2025.05.30.657022. doi: 10.1101/2025.05.30.657022.
2
The impact of Hodgkin-Huxley models on dendritic research.Hodgkin-Huxley 模型对树突研究的影响。
J Physiol. 2023 Aug;601(15):3091-3102. doi: 10.1113/JP282756. Epub 2022 Oct 27.
3
Chloride dynamics alter the input-output properties of neurons.氯离子动力学改变神经元的输入输出特性。

本文引用的文献

1
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time.区分 CA1 放射状斜突中的线性与非线性积分:是时候了。
Front Comput Neurosci. 2011 Nov 14;5:44. doi: 10.3389/fncom.2011.00044. eCollection 2011.
2
The orbitofrontal cortex, predicted value, and choice.眶额皮质、预测值和选择。
Ann N Y Acad Sci. 2011 Dec;1239:43-50. doi: 10.1111/j.1749-6632.2011.06270.x.
3
Top-down spatial categorization signal from prefrontal to posterior parietal cortex in the primate.灵长类动物前额叶到顶叶后皮质的自上而下的空间分类信号。
PLoS Comput Biol. 2020 May 26;16(5):e1007932. doi: 10.1371/journal.pcbi.1007932. eCollection 2020 May.
4
Illuminating dendritic function with computational models.用计算模型照亮树突功能。
Nat Rev Neurosci. 2020 Jun;21(6):303-321. doi: 10.1038/s41583-020-0301-7. Epub 2020 May 11.
5
Basal tree complexity shapes functional pathways in the prefrontal cortex.基础树状结构复杂性塑造前额叶皮质中的功能通路。
J Neurophysiol. 2017 Oct 1;118(4):1970-1983. doi: 10.1152/jn.00099.2017. Epub 2017 Jul 12.
6
Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortex.HCN通道的钙调节在新皮层多尺度模型中支持持续性活动。
Neuroscience. 2016 Mar 1;316:344-66. doi: 10.1016/j.neuroscience.2015.12.043. Epub 2015 Dec 31.
7
Effects of frequency-dependent membrane capacitance on neural excitability.频率依赖性膜电容对神经兴奋性的影响。
J Neural Eng. 2015 Oct;12(5):056015-56015. doi: 10.1088/1741-2560/12/5/056015. Epub 2015 Sep 8.
8
Synaptic clustering within dendrites: an emerging theory of memory formation.树突内的突触聚集:一种新兴的记忆形成理论。
Prog Neurobiol. 2015 Mar;126:19-35. doi: 10.1016/j.pneurobio.2014.12.002. Epub 2015 Jan 8.
9
A simulation study on the effects of dendritic morphology on layer V prefrontal pyramidal cell firing behavior.树突形态对前额叶皮层 V 层锥体神经元放电行为影响的模拟研究。
Front Cell Neurosci. 2014 Sep 16;8:287. doi: 10.3389/fncel.2014.00287. eCollection 2014.
10
A simple biophysically plausible model for long time constants in single neurons.一种用于单个神经元长时间常数的简单生物物理合理模型。
Hippocampus. 2015 Jan;25(1):27-37. doi: 10.1002/hipo.22347. Epub 2014 Sep 25.
Front Syst Neurosci. 2011 Aug 24;5:69. doi: 10.3389/fnsys.2011.00069. eCollection 2011.
4
Target-specific output patterns are predicted by the distribution of regular-spiking and bursting pyramidal neurons in the subiculum.在 subiculum 中,规则放电和爆发放电的锥体神经元的分布预测了特定目标的输出模式。
Hippocampus. 2012 Apr;22(4):693-706. doi: 10.1002/hipo.20931. Epub 2011 Apr 27.
5
Intracellular determinants of hippocampal CA1 place and silent cell activity in a novel environment.细胞内决定因子在海马 CA1 位置和新环境中沉默细胞活动中的作用。
Neuron. 2011 Apr 14;70(1):109-20. doi: 10.1016/j.neuron.2011.03.006.
6
Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation.基于扩散近似的电导型神经元通道噪声的精确快速模拟。
PLoS Comput Biol. 2011 Mar;7(3):e1001102. doi: 10.1371/journal.pcbi.1001102. Epub 2011 Mar 10.
7
Synaptic integration gradients in single cortical pyramidal cell dendrites.单个皮质锥体神经元树突中的突触整合梯度。
Neuron. 2011 Mar 10;69(5):885-92. doi: 10.1016/j.neuron.2011.02.006.
8
Action-potential modulation during axonal conduction.动作电位在轴突传导中的调制。
Science. 2011 Feb 4;331(6017):599-601. doi: 10.1126/science.1197598.
9
Encoding of spatio-temporal input characteristics by a CA1 pyramidal neuron model.CA1 锥体神经元模型对时空输入特征的编码。
PLoS Comput Biol. 2010 Dec 16;6(12):e1001038. doi: 10.1371/journal.pcbi.1001038.
10
Projection-specific neuromodulation of medial prefrontal cortex neurons.投射特异性内侧前额叶皮层神经元的神经调节。
J Neurosci. 2010 Dec 15;30(50):16922-37. doi: 10.1523/JNEUROSCI.3644-10.2010.