Dept. of Brain and Cognitive Sciences, Center for Visual Science, Univ. of Rochester, Rochester, NY 14627, USA.
J Neurophysiol. 2012 Apr;107(8):2109-22. doi: 10.1152/jn.00578.2011. Epub 2012 Jan 4.
Neural coding 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.
平面斑块三维(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。双眼视差、图像速度和纹理的空间梯度为平面表面的 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中的神经元,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,关于单个神经元是否从多个梯度线索中提供关于表面方向的一致信息,相对知之甚少。此外,尚不清楚神经对组合表面方向线索的反应与对单个线索的反应有何关系。我们测量了中间颞(MT)神经元对模拟各种倾斜和倾斜的平面表面的随机点刺激的反应。测试了四个线索条件:单独的视差、速度和纹理梯度,以及所有三个梯度线索的组合。许多神经元对视差和速度梯度的表面倾斜表现出强烈的调谐,对纹理梯度的选择性相对较小。一些神经元对视差和速度线索表现出一致的倾斜偏好,而另一些则表现出较大的差异。对组合刺激的反应通常可以很好地描述为对单个线索的加权线性和,即使视差和速度偏好存在差异。这些发现表明,MT 区包含基于多个线索的 3-D 表面方向的基本表示,单个神经元实现了简单的线索整合规则。