High-acuity vision from retinal image motion
High-acuity vision from retinal image motion
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DOI：
10.1167/jov.20.7.34
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发表时间：
2020-07-01
影响因子：
1.8
通讯作者：
Olshausen, Bruno A.
中科院分区：
文献类型：
--
作者：
Anderson, Alexander G.;Ratnam, Kavitha;Olshausen, Bruno A.
提出了一个数学模型和一个可能的神经机制，以解释视网膜中的注视漂移运动如何有助于识别高锐度目标。我们证明，通过同时估计物体形状和眼球运动，视觉皮质中的神经元可以通过平均视网膜采样晶格中的不均匀来计算出更高质量的物体表示。该模型提出，这是由两组不同的皮质神经元完成的--一组提供物体形状的表示，另一组表示眼睛的位置或运动--它们通过特定的乘法连接连接在一起。结合最近的实验结果，我们的模型表明，视觉系统可能会利用与计算成像中使用的原理相同的原理，通过相机运动来实现“超分辨率”。
A mathematical model and a possible neural mechanism are proposed to account for how fixational drift motion in the retina confers a benefit for the discrimination of high-acuity targets. We show that by simultaneously estimating object shape and eye motion, neurons in visual cortex can compute a higher quality representation of an object by averaging out non-uniformities in the retinal sampling lattice. The model proposes that this is accomplished by two separate populations of cortical neurons - one providing a representation of object shape and another representing eye position or motion - which are coupled through specific multiplicative connections. Combined with recent experimental findings, our model suggests that the visual system may utilize principles not unlike those used in computational imaging for achieving "super-resolution" via camera motion.