A neuronal learning rule for sub-millisecond temporal coding
A neuronal learning rule for sub-millisecond temporal coding
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DOI：
10.1038/383076a0
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发表时间：
1996-09-05
期刊：
影响因子：
64.8
通讯作者：
Wagner, H
中科院分区：
文献类型：
--
作者：
Gerstner, W;Kempter, R;Wagner, H
存在于听觉和电感觉神经系统中的一个悖论（1，2）是，它们用至少慢一个数量级的神经元在几微秒的范围内编码行为相关信号，时间编码在神经信息处理中的重要性尚不清楚（3-8），一个中心问题是神经元放电是否可以比所涉及的神经元过程的时间常数更精确（9），在这里，我们解决这个问题，以谷仓猫头鹰的听觉系统为例，我们提出了一个基于计算机模拟的神经元在层状核的建模研究。三个观察解释了这个悖论。首先，尖峰的'整合和消防'神经元驱动的兴奋性突触后电位的宽度在半最大高度为250 μ s，具有25 μ s的准确性，如果突触前信号到达相干。第二，信号到达时间的必要程度的一致性可以在个体发育期间通过无监督的赫布学习规则来实现。学习从具有随机延迟的轴突的广泛分布中选择具有匹配延迟的连接。第三，学习规则还从两个独立的输入组（例如，从左耳和右耳）中选择正确的延迟。
A PARADOX that exists in auditory and electrosensory neural systems(1,2) is that they encode behaviourally relevant signals in the range of a few microseconds with neurons that are at least one order of magnitude slower, The importance of temporal coding in neural information processing is not clear yet(3-8), A central question is whether neuronal firing can be more precise than the time constants of the neuronal processes involved(9), Here we address this problem using the auditory system of the barn owl as an example, We present a modelling study based on computer simulations of a neuron in the laminar nucleus. Three observations explain the paradox. First, spiking of an 'integrate-and-fire' neuron driven by excitatory postsynaptic potentials with a width at half-maximum height of 250 mu s, has an accuracy of 25 mu s if the presynaptic signals arrive coherently. Second, the necessary degree of coherence in the signal arrival times can be attained during ontogenetic development by virtue of an unsupervised hebbian learning rule, Learning selects connections with matching delays from a broad distribution of axons with random delays, Third, the learning rule also selects the correct delays from two independent groups of inputs, for example, from the left and right ear.