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兴奋性神经元一维培养物中的慢脉冲和快脉冲。

Slow and fast pulses in 1-D cultures of excitatory neurons.

作者信息

Alvarez-Lacalle E, Moses E

机构信息

Departamento de Física Aplicada, Universitat Politécnica de Catalunya UPC, Doctor Marañón 44-58, 08028, Barcelona, Spain.

出版信息

J Comput Neurosci. 2009 Jun;26(3):475-93. doi: 10.1007/s10827-008-0123-5. Epub 2009 Jan 24.

DOI:10.1007/s10827-008-0123-5
PMID:19169802
Abstract

We analyze the characteristics of front propagation in activity of 1-D neuronal cultures by numerical simulations, using only excitatory dynamics. Experimental results in 1-D cultures of hippocampal neurons from rats have shown the spontaneous generation of a slow, low amplitude pulse that precedes a high amplitude, fast pulse that propagates through all the system. Notably, this transition appears both with and without the presence of functioning inhibitory synapses. In accordance with previous work, we demonstrate that purely excitatory integrate and fire neurons with depression in the synapses suffice to produce fast and uniform pulses but cannot explain the appearance of slow, weak pulses. We propose to explain the slow pulses by increasing the complexity of the neuron model in a purely excitatory network with connectivity as close to the experiments as possible. This approach allows us to show that spike frequency adaptation is a fundamental ingredient for the initiation process of the pulse. The introduction of a slow variable that mimics the presence of the slow K(+) channels in the soma and produces spike frequency adaptation increases strongly the persistence of the transient activity before the emergence of the fast pulse up to temporal and spatial scales comparable with the experiments. Finally, we demonstrate that proper levels of additive white noisy currents generate such pulses spontaneously, fully reproducing the experimental results.

摘要

我们通过数值模拟,仅使用兴奋性动力学来分析一维神经元培养物活动中前沿传播的特征。对大鼠海马神经元一维培养物的实验结果表明,在一个高振幅、快速脉冲在整个系统中传播之前,会自发产生一个缓慢、低振幅的脉冲。值得注意的是,无论是否存在起作用的抑制性突触,这种转变都会出现。根据之前的工作,我们证明,具有突触抑制的纯兴奋性积分发放神经元足以产生快速且均匀的脉冲,但无法解释缓慢、微弱脉冲的出现。我们建议通过在一个尽可能接近实验连接性的纯兴奋性网络中增加神经元模型的复杂性来解释缓慢脉冲。这种方法使我们能够表明,脉冲频率适应是脉冲起始过程的一个基本要素。引入一个模仿体细胞中缓慢钾通道存在并产生脉冲频率适应的慢变量,会强烈增加快速脉冲出现之前瞬态活动的持续性,直至达到与实验相当的时间和空间尺度。最后,我们证明适当水平的加性白噪声电流会自发产生此类脉冲,完全重现实验结果。

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