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时相关尖峰序列中的生物物理信息表示。

Biophysical information representation in temporally correlated spike trains.

机构信息

Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada.

出版信息

Proc Natl Acad Sci U S A. 2010 Dec 21;107(51):21973-8. doi: 10.1073/pnas.1008587107. Epub 2010 Dec 3.

DOI:10.1073/pnas.1008587107
PMID:21131567
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3009835/
Abstract

Spike trains commonly exhibit interspike interval (ISI) correlations caused by spike-activated adaptation currents. Here we investigate how the dynamics of adaptation currents can represent spike pattern information generated from stimulus inputs. By analyzing dynamical models of stimulus-driven single neurons, we show that the activation states of the correlation-inducing adaptation current are themselves statistically independent from spike to spike. This paradoxical finding suggests a biophysically plausible means of information representation. We show that adaptation independence is elicited by input levels that produce regular, non-Poisson spiking. This adaptation-independent regime is advantageous for sensory processing because it does not require sensory inferences on the basis of multivariate conditional probabilities, reducing the computational cost of decoding. Furthermore, if the kinetics of postsynaptic activation are similar to the adaptation, the activation state information can be communicated postsynaptically with no information loss, leading to an experimental prediction that simple synaptic kinetics can decorrelate the correlated ISI sequence. The adaptation-independence regime may underly efficient weak signal detection by sensory afferents that are known to exhibit intrinsic correlated spiking, thus efficiently encoding stimulus information at the limit of physical resolution.

摘要

尖峰序列通常表现出由尖峰激活适应电流引起的尖峰间间隔 (ISI) 相关性。在这里,我们研究了适应电流的动力学如何能够代表由刺激输入生成的尖峰模式信息。通过分析受刺激驱动的单个神经元的动力学模型,我们表明,引起相关性的适应电流的激活状态本身在尖峰到尖峰之间是统计独立的。这个自相矛盾的发现表明了一种具有生物物理合理性的信息表示方式。我们表明,适应独立性是由产生规则的、非泊松尖峰的输入水平引起的。这种适应独立性机制有利于感觉处理,因为它不需要基于多元条件概率的感觉推断,从而降低了解码的计算成本。此外,如果突触后激活的动力学类似于适应,那么激活状态信息可以在突触后传递而不会有信息丢失,这导致了一个实验预测,即简单的突触动力学可以使相关的 ISI 序列去相关。适应独立性机制可能是感觉传入纤维有效检测弱信号的基础,已知感觉传入纤维表现出内在的相关尖峰活动,从而在物理分辨率的极限处有效地编码刺激信息。

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本文引用的文献

1
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J Neurosci. 2009 Sep 23;29(38):11891-903. doi: 10.1523/JNEUROSCI.5250-08.2009.
2
Serial correlation in neural spike trains: experimental evidence, stochastic modeling, and single neuron variability.神经脉冲序列中的序列相关性:实验证据、随机建模与单个神经元变异性
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Feb;79(2 Pt 1):021905. doi: 10.1103/PhysRevE.79.021905. Epub 2009 Feb 6.
3
Ruling out and ruling in neural codes.排除和确定神经编码。
Proc Natl Acad Sci U S A. 2009 Apr 7;106(14):5936-41. doi: 10.1073/pnas.0900573106. Epub 2009 Mar 18.
4
Spike-rate coding and spike-time coding are affected oppositely by different adaptation mechanisms.发放率编码和发放时间编码受不同适应机制的影响相反。
J Neurosci. 2008 Dec 10;28(50):13649-61. doi: 10.1523/JNEUROSCI.1792-08.2008.
5
Higher-order statistics of a bistable system driven by dichotomous colored noise.由二分色噪声驱动的双稳系统的高阶统计量
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Aug;78(2 Pt 1):021121. doi: 10.1103/PhysRevE.78.021121. Epub 2008 Aug 18.
6
Oscillation regularity in noise-driven excitable systems with multi-time-scale adaptation.具有多时间尺度适应性的噪声驱动可激发系统中的振荡规律
Phys Rev Lett. 2008 Aug 22;101(8):088101. doi: 10.1103/PhysRevLett.101.088101. Epub 2008 Aug 20.
7
Statistical models for neural encoding, decoding, and optimal stimulus design.用于神经编码、解码和最优刺激设计的统计模型。
Prog Brain Res. 2007;165:493-507. doi: 10.1016/S0079-6123(06)65031-0.
8
Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories.峰频率适应神经集合:超越平均适应和更新理论。
Neural Comput. 2007 Nov;19(11):2958-3010. doi: 10.1162/neco.2007.19.11.2958.
9
Temporal precision in the neural code and the timescales of natural vision.神经编码中的时间精度与自然视觉的时间尺度。
Nature. 2007 Sep 6;449(7158):92-5. doi: 10.1038/nature06105.
10
In vivo Ca2+ dynamics in a cricket auditory neuron: an example of chemical computation.蟋蟀听觉神经元内钙离子动力学:化学计算的一个范例。
Science. 1994 Feb 11;263(5148):823-6. doi: 10.1126/science.263.5148.823.