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汇集对脉冲序列相关性的影响。

The effects of pooling on spike train correlations.

作者信息

Rosenbaum Robert, Trousdale James, Josić Krešimir

机构信息

Department of Mathematics, University of Houston Houston, TX, USA.

出版信息

Front Neurosci. 2011 Apr 28;5:58. doi: 10.3389/fnins.2011.00058. eCollection 2011.

DOI:10.3389/fnins.2011.00058
PMID:21687787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3096837/
Abstract

Neurons integrate inputs from thousands of afferents. Similarly, some experimental techniques record the pooled activity of large populations of cells. When cells in these populations are correlated, the correlation coefficient between the collective activity of two subpopulations is typically much larger than the correlation coefficient between individual cells: The act of pooling individual cell signals amplifies correlations. We give an overview of this phenomenon and present several implications. In particular, we show that pooling leads to synchronization in feedforward networks and that it can amplify and otherwise distort correlations between recorded signals.

摘要

神经元整合来自数千个传入神经的输入。同样,一些实验技术记录大量细胞的汇总活动。当这些群体中的细胞相互关联时,两个亚群的集体活动之间的相关系数通常远大于单个细胞之间的相关系数:汇总单个细胞信号的行为会放大相关性。我们概述了这一现象并提出了一些影响。特别是,我们表明汇总会导致前馈网络中的同步,并且它可以放大并以其他方式扭曲记录信号之间的相关性。

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Front Neurosci. 2011 Apr 28;5:58. doi: 10.3389/fnins.2011.00058. eCollection 2011.
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1
Mechanisms that modulate the transfer of spiking correlations.调节尖峰相关传递的机制。
Neural Comput. 2011 May;23(5):1261-305. doi: 10.1162/NECO_a_00116. Epub 2011 Feb 7.
2
Synchronized neural input shapes stimulus selectivity in a collision-detecting neuron.同步的神经输入塑造了碰撞检测神经元中的刺激选择性。
Curr Biol. 2010 Nov 23;20(22):2052-7. doi: 10.1016/j.cub.2010.10.025. Epub 2010 Nov 4.
3
Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding.神经元网络中的尖峰活动传播:协调神经编码的不同观点。
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Front Comput Neurosci. 2020 Nov 20;14:588881. doi: 10.3389/fncom.2020.588881. eCollection 2020.
4
Interneuronal correlations at longer time scales predict decision signals for bistable structure-from-motion perception.长时程神经元相关性预测双稳态运动结构感知的决策信号。
Sci Rep. 2019 Aug 7;9(1):11449. doi: 10.1038/s41598-019-47786-1.
5
Variations in Static Force Control and Motor Unit Behavior with Error Amplification Feedback in the Elderly.老年人中静态力控制及运动单位行为随误差放大反馈的变化
Front Hum Neurosci. 2017 Nov 8;11:538. doi: 10.3389/fnhum.2017.00538. eCollection 2017.
6
Altered Motor Unit Discharge Coherence in Paretic Muscles of Stroke Survivors.中风幸存者患侧肌肉运动单位放电连贯性的改变
Front Neurol. 2017 May 15;8:202. doi: 10.3389/fneur.2017.00202. eCollection 2017.
7
Alterations in Neural Control of Constant Isometric Contraction with the Size of Error Feedback.恒定等长收缩的神经控制随误差反馈大小的变化。
PLoS One. 2017 Jan 26;12(1):e0170824. doi: 10.1371/journal.pone.0170824. eCollection 2017.
8
The mechanics of state-dependent neural correlations.状态依赖神经相关性的机制。
Nat Neurosci. 2016 Mar;19(3):383-93. doi: 10.1038/nn.4242.
9
Role of input correlations in shaping the variability and noise correlations of evoked activity in the neocortex.输入相关性在塑造新皮层诱发活动的变异性和噪声相关性中的作用。
J Neurosci. 2015 Jun 3;35(22):8611-25. doi: 10.1523/JNEUROSCI.4536-14.2015.
10
Granger causality-based synaptic weights estimation for analyzing neuronal networks.基于格兰杰因果关系的突触权重估计用于分析神经网络。
J Comput Neurosci. 2015 Jun;38(3):483-97. doi: 10.1007/s10827-015-0550-z. Epub 2015 Mar 13.
Nat Rev Neurosci. 2010 Sep;11(9):615-27. doi: 10.1038/nrn2886.
4
Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex.体内对扰动的敏感性意味着高噪声,并表明皮层中的速率编码。
Nature. 2010 Jul 1;466(7302):123-7. doi: 10.1038/nature09086.
5
Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.皮质网络中相关兴奋性和抑制性电导的功能后果。
J Comput Neurosci. 2010 Jun;28(3):579-94. doi: 10.1007/s10827-010-0240-9. Epub 2010 May 19.
6
Pooling and correlated neural activity.池化和相关的神经活动。
Front Comput Neurosci. 2010 Apr 19;4:9. doi: 10.3389/fncom.2010.00009. eCollection 2010.
7
Stimulus onset quenches neural variability: a widespread cortical phenomenon.刺激起始抑制神经变异性:一种广泛存在的皮质现象。
Nat Neurosci. 2010 Mar;13(3):369-78. doi: 10.1038/nn.2501. Epub 2010 Feb 21.
8
The asynchronous state in cortical circuits.皮质电路中的异步状态。
Science. 2010 Jan 29;327(5965):587-90. doi: 10.1126/science.1179850.
9
Decorrelated neuronal firing in cortical microcircuits.皮质微电路中去相关的神经元放电。
Science. 2010 Jan 29;327(5965):584-7. doi: 10.1126/science.1179867.
10
Generation of spatiotemporally correlated spike trains and local field potentials using a multivariate autoregressive process.使用多元自回归过程生成时空相关的尖峰序列和局部场电位。
J Neurophysiol. 2010 May;103(5):2912-30. doi: 10.1152/jn.00518.2009. Epub 2009 Dec 23.