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Multiplexed computations in retinal ganglion cells of a single type

机译:单一类型视网膜神经节细胞中的复用计算

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In the early visual system, cells of the same type perform the same computation in different places of the visual field. How these cells code together a complex visual scene is unclear. A common assumption is that cells of a single-type extract a single-stimulus feature to form a feature map, but this has rarely been observed directly. Using large-scale recordings in the rat retina, we show that a homogeneous population of fast OFF ganglion cells simultaneously encodes two radically different features of a visual scene. Cells close to a moving object code quasilinearly for its position, while distant cells remain largely invariant to the object’s position and, instead, respond nonlinearly to changes in the object’s speed. We develop a quantitative model that accounts for this effect and identify a disinhibitory circuit that mediates it. Ganglion cells of a single type thus do not code for one, but two features simultaneously. This richer, flexible neural map might also be present in other sensory systems.
机译:在早期的视觉系统中,相同类型的单元在视野的不同位置执行相同的计算。这些细胞如何一起编码复杂的视觉场景还不清楚。通常的假设是,单一类型的细胞会提取单一刺激特征以形成特征图,但这很少能直接观察到。使用大鼠视网膜中的大规模记录,我们表明快速OFF神经节细胞的同质群体同时编码视觉场景的两个根本不同的特征。靠近移动物体的像元的位置近似为线性,而远处的像元对物体的位置基本保持不变,而是对物体速度的变化做出非线性响应。我们开发了一个量化模型来说明这种影响,并确定介导它的去抑制回路。因此,单一类型的神经节细胞不编码一个,而是同时编码两个特征。这种更丰富,灵活的神经图谱也可能存在于其他感觉系统中。

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