Flow stimuli reveal ecologically appropriate responses in mouse visual cortex

Flow stimuli reveal ecologically appropriate responses in mouse visual cortex
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DOI:
10.1073/pnas.1811265115
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发表时间:
2018-10-30
影响因子:
11.1
通讯作者:
Stryker, Michael P.
Stryker, Michael P.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Dyballa, Luciano;Hoseini, Mahmood S.;Stryker, Michael P.

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基于空间-频率分析的小鼠视觉系统评估表明,它的视觉能力很低,很少有神经元对空间频率超过每度0.5个周期的反应。然而,视觉调节的行为,如捕捉猎物,表明老鼠的视觉系统更精确。我们引入了一种刺激类--视觉流动模式--它更像是鼠标在自然世界中遇到的东西,而不是正弦波栅格,但比自然图像更容易进行分析。我们使用128个点的硅微电极来测量警觉小鼠初级视皮层(V1)中单个神经元的同步反应。在保持时频含量不变的情况下,我们探索了一类黑点或白点的漂移图案,这些漂移图案只在较高的空间频率上具有能量。这些流动刺激引起强烈的视觉中介反应,远远超过空间频率分析所预测的反应。血流反应在较高的空间频率范围(0.15-1.6周/度)占优势,许多是方位或方向选择性的,许多神经元的血流反应强烈地依赖于对比征。许多细胞表现出分布在我们整个刺激系统中的反应。总而言之,这些结果挑战了传统的线性视觉处理方法,并扩大了我们对老鼠视觉能力的理解,使其达到行为相关的范围。
Assessments of the mouse visual system based on spatial-frequency analysis imply that its visual capacity is low, with few neurons responding to spatial frequencies greater than 0.5 cycles per degree. However, visually mediated behaviors, such as prey capture, suggest that the mouse visual system is more precise. We introduce a stimulus class-visual flow patterns-that is more like what the mouse would encounter in the natural world than are sine-wave gratings but is more tractable for analysis than are natural images. We used 128-site silicon microelectrodes to measure the simultaneous responses of single neurons in the primary visual cortex (V1) of alert mice. While holding temporal-frequency content fixed, we explored a class of drifting patterns of black or white dots that have energy only at higher spatial frequencies. These flow stimuli evoke strong visually mediated responses well beyond those predicted by spatial-frequency analysis. Flow responses predominate in higher spatial-frequency ranges (0.15-1.6 cycles per degree), many are orientation or direction selective, and flow responses of many neurons depend strongly on sign of contrast. Many cells exhibit distributed responses across our stimulus ensemble. Together, these results challenge conventional linear approaches to visual processing and expand our understanding of the mouse's visual capacity to behaviorally relevant ranges.