Kreiman G, Krahe R, Metzner W, Koch C, Gabbiani F
Computation and Neural Systems Program, Division of Biology, 139-74 California Institute of Technology, Pasadena 91125, California, USA.
J Neurophysiol. 2000 Jul;84(1):189-204. doi: 10.1152/jn.2000.84.1.189.
We investigated the variability of P-receptor afferent spike trains in the weakly electric fish, Eigenmannia, to repeated presentations of random electric field AMs (RAMs) and quantified its impact on the encoding of time-varying stimuli. A new measure of spike timing jitter was developed using the notion of spike train distances recently introduced by Victor and Purpura. This measure of variability is widely applicable to neuronal responses, irrespective of the type of stimuli used (deterministic vs. random) or the reliability of the recorded spike trains. In our data, the mean spike count and its variance measured in short time windows were poorly correlated with the reliability of P-receptor afferent spike trains, implying that such measures provide unreliable indices of trial-to-trial variability. P-receptor afferent spike trains were considerably less variable than those of Poisson model neurons. The average timing jitter of spikes lay within 1-2 cycles of the electric organ discharge (EOD). At low, but not at high firing rates, the timing jitter was dependent on the cutoff frequency of the stimulus and, to a lesser extent, on its contrast. When spikes were artificially manipulated to increase jitter, information conveyed by P-receptor afferents was degraded only for average jitters considerably larger than those observed experimentally. This suggests that the intrinsic variability of single spike trains lies outside of the range where it might degrade the information conveyed, yet still allows for improvement in coding by averaging across multiple afferent fibers. Our results were summarized in a phenomenological model of P-receptor afferents, incorporating both their linear transfer properties and the variability of their spike trains. This model complements an earlier one proposed by Nelson et al. for P-receptor afferents of Apteronotus. Because of their relatively high precision with respect to the EOD cycle frequency, P-receptor afferent spike trains possess the temporal resolution necessary to support coincidence detection operations at the next stage in the amplitude-coding pathway.
我们研究了弱电鱼裸背鳗(Eigenmannia)中P受体传入神经冲动序列对随机电场调幅(RAMs)重复呈现的变异性,并量化了其对时变刺激编码的影响。利用Victor和Purpura最近提出的神经冲动序列距离概念,开发了一种新的脉冲定时抖动测量方法。这种变异性测量方法广泛适用于神经元反应,无论所使用的刺激类型(确定性与随机性)或记录的神经冲动序列的可靠性如何。在我们的数据中,在短时间窗口内测量的平均脉冲计数及其方差与P受体传入神经冲动序列的可靠性相关性很差,这意味着这些测量方法提供的逐次试验变异性指标不可靠。P受体传入神经冲动序列的变异性明显低于泊松模型神经元。脉冲的平均定时抖动在电器官放电(EOD)的1 - 2个周期内。在低发放率时,但在高发放率时并非如此,定时抖动取决于刺激的截止频率,并且在较小程度上取决于其对比度。当人为操纵脉冲以增加抖动时,只有当平均抖动远大于实验观察到的抖动时,P受体传入神经所传达的信息才会退化。这表明单个神经冲动序列的内在变异性处于可能不会降低所传达信息的范围内,但仍允许通过对多个传入纤维进行平均来改进编码。我们的结果总结在一个P受体传入神经的现象学模型中,该模型结合了它们的线性传递特性和神经冲动序列的变异性。该模型补充了Nelson等人早期为线翎电鳗(Apteronotus)的P受体传入神经提出的模型。由于它们相对于EOD周期频率具有相对较高的精度,P受体传入神经冲动序列具有在下一阶段幅度编码通路中支持巧合检测操作所需的时间分辨率。