Orientation Tuning and End-stopping in Macaque V1 Studied with Two-photon Calcium Imaging
Orientation Tuning and End-stopping in Macaque V1 Studied with Two-photon Calcium Imaging
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DOI：
10.1093/cercor/bhaa346
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发表时间：
2021-04-01
期刊：
影响因子：
3.7
通讯作者：
Yu, Cong
中科院分区：
文献类型：
--
作者：
Ju, Nian-Sheng;Guan, Shu-Chen;Yu, Cong
方向调谐是V1神经元的一种基本反应特性，并已被广泛研究与单/多单元记录和内在信号光学成像。长期双光子钙成像允许在清醒的猕猴中在较长时间内以单神经元分辨率同时记录数百个神经元，这可能有助于更详细地阐明V1方向调节特性。我们使用这种新技术来研究的微观结构的方向功能地图，以及人口调谐性能，在V1浅层5清醒猕猴。细胞方向图显示的水平和垂直集群的神经元方向的喜好，但不调谐带宽，以及较低频率的风车比以前的估计。方向调谐带宽比以前的层特定的单单元估计，更精确的方向选择性。此外，调整到基数和倾斜方向的神经元在数量和带宽上没有差异，这可能表明倾斜效应的V1表示最小。我们的实验设计也允许粗略估计的长度调整。结果显示，在更浅的150 μ m深度（与300 μ m），但不变的取向调谐带宽与不同的长度调谐的终端停止细胞。这些结果将有助于构建更精确的V1定向加工模型。
Orientation tuning is a fundamental response property of V1 neurons and has been extensively studied with single-/multiunit recording and intrinsic signal optical imaging. Long-term 2-photon calcium imaging allows simultaneous recording of hundreds of neurons at single neuron resolution over an extended time in awake macaques, which may help elucidate V1 orientation tuning properties in greater detail. We used this new technology to study the microstructures of orientation functional maps, as well as population tuning properties, in V1 superficial layers of 5 awake macaques. Cellular orientation maps displayed horizontal and vertical clustering of neurons according to orientation preferences, but not tuning bandwidths, as well as less frequent pinwheels than previous estimates. The orientation tuning bandwidths were narrower than previous layer-specific single-unit estimates, suggesting more precise orientation selectivity. Moreover, neurons tuned to cardinal and oblique orientations did not differ in quantities and bandwidths, likely indicating minimal V1 representation of the oblique effect. Our experimental design also permitted rough estimates of length tuning. The results revealed significantly more end-stopped cells at a more superficial 150 mu m depth (vs. 300 mu m), but unchanged orientation tuning bandwidth with different length tuning. These results will help construct more precise models of V1 orientation processing.