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昼行性啮齿动物不同离心度下视网膜功能的特征描述

Characterization of Retinal Functionality at Different Eccentricities in a Diurnal Rodent.

作者信息

Escobar María-José, Reyes César, Herzog Rubén, Araya Joaquin, Otero Mónica, Ibaceta Cristóbal, Palacios Adrián G

机构信息

Departamento de Electrónica, Universidad Técnica Federico Santa María, Valparaíso, Chile.

Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, Valparaíso, Chile.

出版信息

Front Cell Neurosci. 2018 Dec 3;12:444. doi: 10.3389/fncel.2018.00444. eCollection 2018.

Abstract

Although the properties of the neurons of the visual system that process central and peripheral regions of the visual field have been widely researched in the visual cortex and the LGN, they have scarcely been documented for the retina. The retina is the first step in integrating optical signals, and despite considerable efforts to functionally characterize the different types of retinal ganglion cells (RGCs), a clear account of the particular functionality of cells with central vs. peripheral fields is still wanting. Here, we use electrophysiological recordings, gathered from retinas of the diurnal rodent , to show that RGCs with peripheral receptive fields (RF) are larger, faster, and have shorter transient responses. This translates into higher sensitivity at high temporal frequencies and a full frequency bandwidth when compared to RGCs with more central RF. We also observed that imbalances between ON and OFF cell populations are preserved with eccentricity. Finally, the high diversity of functional types of RGCs highlights the complexity of the computational strategies implemented in the early stages of visual processing, which could inspire the development of bio-inspired artificial systems.

摘要

尽管在视觉皮层和外侧膝状体中,对处理视野中央和周边区域的视觉系统神经元特性已进行了广泛研究,但在视网膜方面却鲜有文献记载。视网膜是整合光信号的第一步,尽管人们为从功能上表征不同类型的视网膜神经节细胞(RGC)付出了巨大努力,但对于具有中央视野和周边视野的细胞的特定功能仍缺乏清晰的描述。在此,我们利用从昼行性啮齿动物视网膜收集的电生理记录,表明具有周边感受野(RF)的RGC更大、速度更快且瞬态反应更短。与具有更中央RF的RGC相比,这意味着在高时间频率下具有更高的灵敏度和完整的频率带宽。我们还观察到,ON和OFF细胞群体之间的不平衡随离心率而保持。最后,RGC功能类型的高度多样性突出了视觉处理早期阶段所实施计算策略的复杂性,这可能会激发受生物启发的人工系统的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7854/6287453/8a16a652c701/fncel-12-00444-g0001.jpg

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