Limited transmission of mixed convergent signals at the mouse retinogeniculate synapse.

IF 15 1区 医学 Q1 NEUROSCIENCES
Takuma Sonoda, Qiufen Jiang, Ivan Jara-Marquez, Hannah Radell, Héctor Acarón Ledesma, Wei Wei, Chinfei Chen
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引用次数: 0

Abstract

There are two broad modes of information transfer in the brain: the labeled line model, where neurons relay inputs they receive, and the mixed tuning model, where neurons transform different inputs. In the visual pathway, information transfer between retinal ganglion cells (RGCs) and dorsal lateral geniculate nucleus (dLGN) neurons is viewed as a labeled line. However, recent work in mice demonstrated that different RGC types, encoding distinct visual features, converge onto a dLGN neuron, raising the question of how the dLGN transforms visual information. Using optogenetics, we activated distinct RGC populations and measured dLGN neuron spiking in vivo. We found that visual response properties of strongly driven dLGN neurons largely match properties of the activated RGC population. While in vitro dual-opsin experiments demonstrate that strong functional convergence from distinct RGC types does occur at modest frequencies, our data largely support a labeled line model of retinogeniculate information transfer in mice.

小鼠视网膜原突触混合收敛信号的有限传递。
在大脑中有两种广泛的信息传递模式:标记线模型,神经元传递它们接收到的输入;混合调谐模型,神经元转换不同的输入。在视觉通路中,视网膜神经节细胞(RGCs)和膝状背外侧核(dLGN)神经元之间的信息传递被视为一条标记线。然而,最近在小鼠身上的研究表明,编码不同视觉特征的不同RGC类型会聚到dLGN神经元上,这就提出了dLGN如何转换视觉信息的问题。利用光遗传学技术,我们激活了不同的RGC群体,并在体内测量了dLGN神经元的峰值。我们发现强烈驱动的dLGN神经元的视觉反应特性在很大程度上与激活的RGC群体的特性相匹配。虽然体外双视蛋白实验表明,来自不同RGC类型的强功能趋同确实在适当的频率下发生,但我们的数据在很大程度上支持小鼠视网膜原化信息传递的标记线模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuron
Neuron 医学-神经科学
CiteScore
24.50
自引率
3.10%
发文量
382
审稿时长
1 months
期刊介绍: Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.
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