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果蝇大脑中具有功能有序的视觉特征图。

A functionally ordered visual feature map in the Drosophila brain.

机构信息

Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA.

Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA.

出版信息

Neuron. 2022 May 18;110(10):1700-1711.e6. doi: 10.1016/j.neuron.2022.02.013. Epub 2022 Mar 14.

Abstract

Topographic maps, the systematic spatial ordering of neurons by response tuning, are common across species. In Drosophila, the lobula columnar (LC) neuron types project from the optic lobe to the central brain, where each forms a glomerulus in a distinct position. However, the advantages of this glomerular arrangement are unclear. Here, we examine the functional and spatial relationships of 10 glomeruli using single-neuron calcium imaging. We discover novel detectors for objects smaller than the lens resolution (LC18) and for complex line motion (LC25). We find that glomeruli are spatially clustered by selectivity for looming versus drifting object motion and ordered by size tuning to form a topographic visual feature map. Furthermore, connectome analysis shows that downstream neurons integrate from sparse subsets of possible glomeruli combinations, which are biased for glomeruli encoding similar features. LC neurons are thus an explicit example of distinct feature detectors topographically organized to facilitate downstream circuit integration.

摘要

地形图是通过响应调谐对神经元进行系统空间排序的一种常见方式,在不同物种中都存在。在果蝇中,小叶柱状(LC)神经元从视叶投射到中脑,在那里每个神经元都在一个独特的位置形成一个小球体。然而,这种小球体排列的优势尚不清楚。在这里,我们使用单神经元钙成像来研究 10 个小球体的功能和空间关系。我们发现了新的探测器,可以探测到比镜头分辨率更小的物体(LC18)和复杂的线运动(LC25)。我们发现,小球体通过对逼近物体运动和漂移物体运动的选择性而在空间上聚类,并根据大小调谐进行排序,形成了一个地形视觉特征图。此外,连接组分析表明,下游神经元从可能的小球体组合的稀疏子集中进行整合,这些组合偏向于编码相似特征的小球体。因此,LC 神经元是一个明确的例子,表明不同的特征探测器以地形方式组织,以促进下游电路的整合。

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