Solving visual correspondence between the two eyes via domain-based population encoding in nonhuman primates.
Solving visual correspondence between the two eyes via domain-based population encoding in nonhuman primates.
复制标题
通过非人类灵长类动物基于领域的群体编码解决两只眼睛之间的视觉对应关系
DOI：
10.1073/pnas.1614452114
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发表时间：
2017-12-05
影响因子：
11.1
通讯作者：
Roe AW
中科院分区：
文献类型：
--
作者：
Chen G;Lu HD;Tanigawa H;Roe AW
视觉深度感知中的一个长期存在的问题是两只眼睛之间的对应特征如何匹配（“双眼对应问题”）。在这里，我们表明，使用光学成像在猴子的视觉皮层，这种计算发生在近和远的视差域的V2，和功能组织在V2可能有利于池的视差信号，可以减少错误的匹配，以解决双目对应问题。立体视觉取决于两只眼睛之间相应特征的正确匹配。目前还不清楚大脑在哪里解决这个双眼对应问题。虽然我们的视觉系统能够进行正确的全局匹配，但任何两个图像之间都有许多可能的错误匹配。在这里，我们使用清醒和麻醉猴的视觉皮层中的双眼视差响应的光学成像数据来证明第二视觉皮层区域（V2）是正确地丢弃错误匹配并稳健地编码正确匹配的第一皮层阶段。我们的研究结果表明，实现深度知觉的一个关键转变在于纹外视皮层的早期阶段，并通过群体编码来实现。
A long-standing problem in visual depth perception is how corresponding features between the two eyes are matched (the “binocular correspondence problem”). Here, we show, using optical imaging in monkey visual cortex, that this computation occurs in the near and far disparity domains of V2, and that functional organization in V2 might facilitate the pooling of disparity signals that can reduce false matches to solve the binocular correspondence problem. Stereoscopic vision depends on correct matching of corresponding features between the two eyes. It is unclear where the brain solves this binocular correspondence problem. Although our visual system is able to make correct global matches, there are many possible false matches between any two images. Here, we use optical imaging data of binocular disparity response in the visual cortex of awake and anesthetized monkeys to demonstrate that the second visual cortical area (V2) is the first cortical stage that correctly discards false matches and robustly encodes correct matches. Our findings indicate that a key transformation for achieving depth perception lies in early stages of extrastriate visual cortex and is achieved by population coding.
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