Magnani Christophe, Eugène Daniel, Idoux Erwin, Moore Lee E
CESeM - UMR8194 - CNRS - Université Paris Descartes, 45 rue des Saints-Pères, 75270, Paris Cedex 06, France,
J Comput Neurosci. 2013 Dec;35(3):243-59. doi: 10.1007/s10827-013-0451-y. Epub 2013 Mar 22.
The nonlinear properties of the dendrites of the prepositus hypoglossi nucleus (PHN) neurons are essential for the operation of the vestibular neural integrator that converts a head velocity signal to one that controls eye position. A novel system of frequency probing, namely quadratic sinusoidal analysis (QSA), was used to decode the intrinsic nonlinear behavior of these neurons under voltage clamp conditions. Voltage clamp currents were measured at harmonic and interactive frequencies using specific nonoverlapping stimulation frequencies. Eigenanalysis of the QSA matrix reduces it to a remarkably compact processing unit, composed of just one or two dominant components (eigenvalues). The QSA matrix of rat PHN neurons provides signatures of the voltage dependent conductances for their particular dendritic and somatic distributions. An important part of the nonlinear response is due to the persistent sodium conductance (gNaP), which is likely to be essential for sustained effects needed for a neural integrator. It was found that responses in the range of 10 mV peak to peak could be well described by quadratic nonlinearities suggesting that effects of higher degree nonlinearities would add only marginal improvement. Therefore, the quadratic response is likely to sufficiently capture most of the nonlinear behavior of neuronal systems except for extremely large synaptic inputs. Thus, neurons have two distinct linear and quadratic functions, which shows that piecewise linear + quadratic analysis is much more complete than just piecewise linear analysis; in addition quadratic analysis can be done at a single holding potential. Furthermore, the nonlinear neuronal responses contain more frequencies over a wider frequency band than the input signal. As a consequence, they convert limited amplitude and bandwidth input signals to wider bandwidth and more complex output responses. Finally, simulations at subthreshold membrane potentials with realistic PHN neuron models suggest that the quadratic functions are fundamentally dominated by active dendritic structures and persistent sodium conductances.
舌下前置核(PHN)神经元树突的非线性特性对于前庭神经积分器的运作至关重要,该积分器可将头部速度信号转换为控制眼球位置的信号。一种新颖的频率探测系统,即二次正弦分析(QSA),被用于在电压钳制条件下解码这些神经元的内在非线性行为。使用特定的非重叠刺激频率在谐波和交互频率下测量电压钳制电流。对QSA矩阵进行特征分析可将其简化为一个非常紧凑的处理单元,该单元仅由一两个主导成分(特征值)组成。大鼠PHN神经元的QSA矩阵为其特定的树突和体细胞分布提供了电压依赖性电导的特征。非线性响应的一个重要部分归因于持续性钠电导(gNaP),这可能对于神经积分器所需的持续效应至关重要。研究发现,峰峰值在10 mV范围内的响应可以很好地用二次非线性来描述,这表明更高阶非线性的影响只会带来边际改善。因此,除了极大的突触输入外,二次响应可能足以捕捉神经元系统的大部分非线性行为。因此,神经元具有两种不同的线性和二次函数,这表明分段线性+二次分析比仅分段线性分析要完整得多;此外,二次分析可以在单个钳制电位下进行。此外,非线性神经元响应在比输入信号更宽的频带上包含更多频率。因此,它们将有限幅度和带宽的输入信号转换为更宽带宽和更复杂的输出响应。最后,使用逼真的PHN神经元模型在阈下膜电位进行的模拟表明,二次函数基本上由活跃的树突结构和持续性钠电导主导。