鲶鱼视网膜的复杂性和频率等级。

M J Korenberg, H M Sakai, K I Naka
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引用次数: 0

摘要

脊椎动物视网膜神经元之间复杂的连接和相互作用使得它们在信号处理中的个体作用很难阐明。我们使用最近开发的数学工具,快速正交搜索(FOS)来探测鲶鱼的外(远端)和内(近端)视网膜,并研究其中的信号处理。通过FOS,可以将给定的波形分解成包含最重要组成频率的简约正弦序列。特别地,我们检查了光诱发的水平细胞和双极细胞的一阶维纳核,以及开关、关闭和打开的无突细胞和神经节细胞。在这里,我们报告了一个层次(相关系数高达0.86)在优先频率和响应的复杂性对应于视网膜的结构层次。此外,还检测到开、通、关和离细胞功能特征之间的明显差异。例如,发现非腺细胞的核波形比非腺细胞的核波形更复杂,并且具有更高的首选频率。事实上,FOS分析显示,与相应的开、关细胞相比,关闭(持续)的非神经节细胞和非神经节细胞在光输入信号处理中表现出的波形复杂性要低得多。这显示了打开和关闭通路之间对称性的明显破坏,并表明与打开和关闭细胞的连接相比,与关闭细胞的连接可能提供更少或更少的输入。我们的许多新发现可以通过假设视网膜信息处理的潜在级联结构来理解。FOS的发现特别支持以下先前提出的假设:非线性处理从开关无突细胞到开关无突细胞的转变是由于高通线性滤波。此外,我们的结果表明,高通滤波对非腺细胞的分化比非腺细胞的分化更明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complexity and frequency hierarchies in the catfish retina.

The intricate connectivity and interactions between neurons in the vertebrate retina have made their individual roles in signal processing very difficult to elucidate. We have used a recently developed mathematical tool, fast orthogonal search (FOS), to probe the catfish outer (distal) and inner (proximal) retina, and study the signal processing within. Through FOS, a given waveform can be decomposed into a parsimonious sinusoidal series containing the most significant constituent frequencies. In particular, we examined the light-evoked first-order Wiener kernels of horizontal cells and on-bipolar cells, and on-off, off- and on-amacrine and ganglion cells. Here we report a hierarchy (correlation coefficient up to 0.86) in preferred frequency and complexity of response corresponding to the retina's structural hierarchy. In addition, clear differences between on-, on-off and off-cell functional characteristics were detected. For example, the kernel waveform for the on-amacrine cell was found to be more complex and to have a higher preferred frequency than that for the off-amacrine cell. Indeed FOS analysis revealed that both off- (sustained) amacrine and off-ganglion cells exhibit significantly less complexity in their waveforms for signal processing of light input than do the corresponding on- and on-off cells. This shows a clear breakdown in symmetry between on- and off-pathways, and suggests that connections to off-cells may provide fewer or a smaller variety of inputs than those to on- and on-off cells. Many of our new findings can be appreciated by assuming an underlying cascade structure for the retinal information processing. The FOS findings in particular support the following previously advanced hypothesis: the transition in nonlinear processing from on-off amacrine to on- off-amacrine cells is due to high-pass linear filtering. Furthermore, our results indicate that the high-pass filtering is more sharply differentiating for the on-amacrine than for the off-amacrine cell.

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