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Coding Properties of Three Intrinsically Distinct Retinal Ganglion Cells under Periodic Stimuli: A Computational Study

机译:周期性刺激下三个固有不同的视网膜神经节细胞的编码特性:计算研究。

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摘要

As the sole output neurons in the retina, ganglion cells play significant roles in transforming visual information into spike trains, and then transmitting them to the higher visual centers. However, coding strategies that retinal ganglion cells (RGCs) adopt to accomplish these processes are not completely clear yet. To clarify these issues, we investigate the coding properties of three types of RGCs (repetitive spiking, tonic firing, and phasic firing) by two different measures (spike-rate and spike-latency). Model results show that for periodic stimuli, repetitive spiking RGC and tonic RGC exhibit similar spike-rate patterns. Their spike- rates decrease gradually with increased stimulus frequency, moreover, variation of stimulus amplitude would change the two RGCs' spike-rate patterns. For phasic RGC, it activates strongly at medium levels of frequency when the stimulus amplitude is low. While if high stimulus amplitude is applied, phasic RGC switches to respond strongly at low frequencies. These results suggest that stimulus amplitude is a prominent factor in regulating RGCs in encoding periodic signals. Similar conclusions can be drawn when analyzes spike-latency patterns of the three RGCs. More importantly, the above phenomena can be accurately reproduced by Hodgkin's three classes of neurons, indicating that RGCs can perform the typical three classes of firing dynamics, depending on the distinctions of ion channel densities. Consequently, model results from the three RGCs may be not specific, but can also applicable to neurons in other brain regions which exhibit part(s) or all of the Hodgkin's three excitabilities.
机译:作为视网膜中唯一的输出神经元,神经节细胞在将视觉信息转换成尖峰序列,然后将它们传递到更高的视觉中心方面发挥着重要作用。但是,视网膜神经节细胞(RGC)用来完成这些过程的编码策略尚不完全清楚。为了澄清这些问题,我们通过两种不同的量度(尖峰率和尖峰潜伏期)来研究三种类型的RGC(重复尖峰,强音发射和相位发射)的编码特性。模型结果表明,对于周期性刺激,重复峰值RGC和补品RGC表现出相似的尖峰速率模式。随着刺激频率的增加,它们的尖峰率逐渐降低,此外,刺激幅度的变化将改变两个RGC的尖峰率模式。对于相位RGC,当刺激幅度较低时,它会在中等频率水平上强烈激活。如果施加高激励幅度,则相位RGC切换以在低频下强烈响应。这些结果表明,刺激幅度是在编码周期性信号时调节RGC的重要因素。分析三个RGC的尖峰延迟模式时,可以得出类似的结论。更重要的是,上述现象可以由霍奇金的三类神经元精确地再现,表明RGC可以执行典型的三类激发动力学,具体取决于离子通道密度的不同。因此,来自三个RGC的模型结果可能不是特定的,但也可以应用于其他大脑区域中表现出霍奇金三种兴奋性的部分或全部的神经元。

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