...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of vision >Computation of high-order correlations underlies edge-polarity selective motion processing
【24h】

Computation of high-order correlations underlies edge-polarity selective motion processing

机译：高阶相关性的计算是边缘极性选择性运动处理的基础

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Visual motion is a critical behavioral cue. Contemporary neural models estimate motion by computing pairwise space-time correlations in light intensity. Moving natural scenes, however, contain more complex correlational structures. By simulating motion using natural scenes, we show that specific third-order correlations resulting from asymmetries in above- and below-mean regions of the visual scene contain useful information about motion. Moreover, motion estimation models that utilize odd-ordered correlations are able to distinguish between light and dark edges, something that 2nd order models cannot. Given that this information exists in moving natural images, we asked whether third-order correlations are estimated in a manner that distinguishes moving light edges from moving dark edges. First, to isolate light- and dark-edge specific neural responses, we used novel stimuli that separately manipulated motion direction and edge polarity. Using these stimuli and Steady-State Visual Evoked Potentials, we demonstrated that humans exhibit adaption that is specific to the combination of edge direction and edge polarity. Second, to isolate perceptual sensitivity to high-order correlations, we used 3-point "glider" stimuli that contain no net 2-point correlations. These stimuli separate the motion information contained in 3rd and higher-order correlations from that specified by 2nd-order correlations and they produce a percept of motion. To test for the connection between these high-order correlations and edge-polarity specificity, we first adapted participants to moving light and dark edges and then measured psychophysical sensitivity to the 3-point "gliders". We found that this adaptation modulates the perception of 3-point gliders. Our results thus indicate that a computation of high-order correlations underlies edge-polarity selective motion processing.
机译：视觉运动是关键的行为提示。当代的神经模型通过计算光强度的成对时空相关性来估计运动。但是，移动的自然场景包含更复杂的相关结构。通过使用自然场景模拟运动，我们显示了由视觉场景的均值和均值以下区域中的不对称性引起的特定三阶相关包含有关运动的有用信息。此外，利用奇数阶相关性的运动估计模型能够区分亮边缘和暗边缘，而二阶模型则不能。给定此信息存在于运动的自然图像中，我们询问是否以区分运动的光边缘和运动的黑边缘的方式估计了三阶相关性。首先，为了隔离亮边缘和暗边缘的特定神经反应，我们使用了新颖的刺激来分别操纵运动方向和边缘极性。使用这些刺激和稳态视觉诱发电位，我们证明了人类表现出特定于边缘方向和边缘极性组合的适应性。其次，为了隔离对高阶相关性的感知敏感性，我们使用了不包含净两点相关性的三点“滑翔机”刺激。这些刺激将包含在三阶和更高阶相关性中的运动信息与二阶相关性所指定的运动信息分开，并且它们产生运动感知。为了测试这些高阶相关性和边缘极性特异性之间的联系，我们首先使参与者适应移动的明暗边缘，然后测量对3点“滑翔机”的心理物理敏感性。我们发现这种适应调节了三点滑翔机的感知。因此，我们的结果表明，高阶相关性的计算是边缘极性选择性运动处理的基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号