Surround suppression of V1 neurons mediates orientation-based representation of high-order visual features.
Surround suppression of V1 neurons mediates orientation-based representation of high-order visual features.
复制标题
DOI：
10.1152/jn.90749.2008
复制
发表时间：
2009-03
影响因子：
2.5
通讯作者：
Hiroki Tanaka;I. Ohzawa
中科院分区：
文献类型：
--
作者：
Hiroki Tanaka;I. Ohzawa
具有环绕抑制的神经元参与处理高阶视觉特征，例如对比度或纹理定义的边界和主观轮廓。然而，很少有人知道这些神经元如何编码高阶视觉信息的系统方式作为一个群体。为了解决这个问题，我们已经测量了详细的空间结构的经典中心和抑制性周围区域的初级视觉皮层（V1）神经元的感受野，并研究如何人口这样的神经元允许编码的各种高阶功能和形状的视觉场景。使用一种新的方法来重建结构，我们发现，中心和周围的区域往往都是细长的彼此平行，让人想起没有周围抑制的简单细胞的开和关子区域。这些结构允许V1神经元提取各种方向和空间频率的高阶轮廓，并在神经元之间具有各种最佳值。结果表明，一个广泛的方向和宽度的高阶功能系统地代表了人口的V1神经元与环绕抑制。
Neurons with surround suppression have been implicated in processing high-order visual features such as contrast- or texture-defined boundaries and subjective contours. However, little is known regarding how these neurons encode high-order visual information in a systematic manner as a population. To address this issue, we have measured detailed spatial structures of classical center and suppressive surround regions of receptive fields of primary visual cortex (V1) neurons and examined how a population of such neurons allow encoding of various high-order features and shapes in visual scenes. Using a novel method to reconstruct structures, we found that the center and surround regions are often both elongated parallel to each other, reminiscent of on and off subregions of simple cells without surround suppression. These structures allow V1 neurons to extract high-order contours of various orientations and spatial frequencies, with a variety of optimal values across neurons. The results show that a wide range of orientations and widths of the high-order features are systematically represented by the population of V1 neurons with surround suppression.