Representation of 3-D surface orientation by velocity and disparity gradient cues in area MT
Representation of 3-D surface orientation by velocity and disparity gradient cues in area MT
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DOI：
10.1152/jn.00578.2011
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发表时间：
2012-04-01
影响因子：
2.5
通讯作者：
DeAngelis, Gregory C.
中科院分区：
文献类型：
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作者：
Sanada, Takahisa M.;Nguyenkim, Jerry D.;DeAngelis, Gregory C.
Sanada TM，Nguyenkim JD，DeAngelis GC.在区域MT中通过速度和视差梯度线索表示3-D表面方向。J Neurophysiol 107：2109-2122，2012.首次发表于2012年1月4日; doi：10.1152/jn.00578.2011。平面曲面片的三维（3-D）方向的神经编码可能是构建复杂3-D表面结构表示的重要中间步骤。双目视差的空间梯度、图像速度和纹理为平面表面的3-D方向（倾斜和倾斜）提供了有力的线索。先前的研究已经描述了背侧和腹侧流区域的神经元，它们基于这些梯度线索中的一个或多个对表面倾斜具有选择性。然而，相对知之甚少的是，是否单个神经元提供一致的信息，从多个梯度线索的表面取向。此外，目前还不清楚神经反应的表面方向线索的组合是如何相关的个人线索的反应。我们测量了中颞叶（MT）神经元对随机点刺激的反应，这些刺激模拟了各种倾斜和倾斜的平面。测试了四种线索条件：单独的视差、速度和纹理梯度，以及所有三种梯度线索的组合。许多神经元表现出强大的调整表面倾斜的基础上的差距和速度梯度，纹理梯度的选择性相对较小。一些神经元表现出一致的倾斜偏好的差距和速度线索，而其他人表现出很大的差异。对组合刺激的反应通常被很好地描述为对个体线索的反应的加权线性和，即使当视差和速度偏好不一致时。这些研究结果表明，MT区包含一个基本的代表性的3-D表面取向的基础上，多个线索，与单神经元实现一个简单的线索整合规则。
Sanada TM, Nguyenkim JD, DeAngelis GC. Representation of 3-D surface orientation by velocity and disparity gradient cues in area MT. J Neurophysiol 107: 2109-2122, 2012. First published January 4, 2012; doi:10.1152/jn.00578.2011.-Neuralcoding of the three-dimensional (3-D) orientation of planar surface patches may be an important intermediate step in constructing representations of complex 3-D surface structure. Spatial gradients of binocular disparity, image velocity, and texture provide potent cues to the 3-D orientation (tilt and slant) of planar surfaces. Previous studies have described neurons in both dorsal and ventral stream areas that are selective for surface tilt based on one or more of these gradient cues. However, relatively little is known about whether single neurons provide consistent information about surface orientation from multiple gradient cues. Moreover, it is unclear how neural responses to combinations of surface orientation cues are related to responses to the individual cues. We measured responses of middle temporal (MT) neurons to random dot stimuli that simulated planar surfaces at a variety of tilts and slants. Four cue conditions were tested: disparity, velocity, and texture gradients alone, as well as all three gradient cues combined. Many neurons showed robust tuning for surface tilt based on disparity and velocity gradients, with relatively little selectivity for texture gradients. Some neurons showed consistent tilt preferences for disparity and velocity cues, whereas others showed large discrepancies. Responses to the combined stimulus were generally well described as a weighted linear sum of responses to the individual cues, even when disparity and velocity preferences were discrepant. These findings suggest that area MT contains a rudimentary representation of 3-D surface orientation based on multiple cues, with single neurons implementing a simple cue integration rule.