Institute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, Berlin, Germany.
J Neurophysiol. 2010 Oct;104(4):2274-90. doi: 10.1152/jn.00395.2010. Epub 2010 Aug 4.
The neurophonic is a sound-evoked, frequency-following potential that can be recorded extracellularly in nucleus laminaris of the barn owl. The origin of the neurophonic, and thus the mechanisms that give rise to its exceptional temporal precision, has not yet been identified. Putative generators of the neurophonic are the activity of afferent axons, synaptic activation of laminaris neurons, or action potentials in laminaris neurons. To identify the generators, we analyzed the neurophonic in the high-frequency (>2.5 kHz) region of nucleus laminaris in response to monaural pure-tone stimulation. The amplitude of the neurophonic is typically in the millivolt range. The signal-to-noise ratio reaches values beyond 30 dB. To assess which generators could give rise to these large, synchronous extracellular potentials, we developed a computational model. Spike trains were produced by an inhomogeneous Poisson process and convolved with a spike waveform. The model explained the dependence of the simulated neurophonic on parameters such as the mean rate, the vector strength of phase locking, the number of statistically independent sources, and why the signal-to-noise ratio is independent of the spike waveform and subsequent filtering of the signal. We found that several hundred sources are needed to reach the observed signal-to-noise ratio. The summed coherent signal from the densely packed afferent axons and activation of their synapses on laminaris neurons are alone sufficient to explain the measured properties of the neurophonic.
神经声是一种声音诱发的、跟随频率的电位,可以在仓鸮的核层状结构中进行细胞外记录。神经声的起源,以及产生其异常时间精度的机制,尚未确定。神经声的假定发生器是传入轴突的活动、层状神经元的突触激活或层状神经元的动作电位。为了确定发生器,我们分析了单耳纯音刺激引起的核层状结构高频(>2.5 kHz)区域的神经声。神经声的幅度通常在毫伏范围内。信号噪声比达到 30 dB 以上。为了评估哪些发生器可能产生这些大的、同步的细胞外电位,我们开发了一个计算模型。尖峰序列由非均匀泊松过程产生,并与尖峰波形卷积。该模型解释了模拟神经声对参数的依赖性,例如平均率、相位锁定的向量强度、统计独立源的数量,以及为什么信号噪声比与尖峰波形无关,并且信号随后的滤波也无关。我们发现,需要数百个源才能达到观察到的信号噪声比。来自密集排列的传入轴突的总和相干信号及其在层状神经元上的突触激活本身就足以解释所测量的神经声的特性。