Spiking neurons and the first passage problem.

Spiking neurons and the first passage problem.
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尖峰神经元和第一通道问题。

DOI:
10.1162/neco_a_00139
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发表时间:
2011
期刊:
影响因子:
2.9
通讯作者:
Knight,Bruce
Knight,Bruce
中科院分区:
计算机科学4区
文献类型:
--
作者:
Sirovich,Lawrence;Knight,Bruce

文献摘要

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通过对首次通过问题的分析,得到了神经元放电间期概率密度的模型。我们的表达与视网膜神经节细胞实验室数据的拟合提取了三个生理上相关的参数,根据这些参数,我们的模型产生了与实验室结果一致的输入输出特征。初步分析表明,在一般情况下,本地电路会根据触发速率的变化重新调整这些参数,因此会努力忠实地复制输入信号。进一步的结果表明,所谓的做工马虎的原则也在进化选择这些参数中发挥了作用。
We derive a model of a neuron’s interspike interval probability density through analysis of the first passage problem. The fit of our expression to retinal ganglion cell laboratory data extracts three physiologically relevant parameters, with which our model yields input-output features that conform to laboratory results. Preliminary analysis suggests that under common circumstances, local circuitry readjusts these parameters with changes in firing rate and so endeavors to faithfully replicate an input signal. Further results suggest that the so-called principle of sloppy workmanship also plays a role in evolution’s choice of these parameters.