The spatial processing of color is important for visual perception. Double-opponent (DO) cells likely contribute to this processing by virtue of their spatially opponent and cone-opponent receptive fields (RFs). However, the representation of visual features by DO cells in the primary visual cortex of primates is unclear because the spatial structure of their RFs has not been fully characterized. To fill this gap, we mapped the RFs of DO cells in awake macaques with colorful, dynamic white noise patterns. The spatial RF of each neuron was fitted with a Gabor function and three versions of the Difference of Gaussians (DoG) function. The Gabor function provided the more accurate description for most DO cells, a result that is incompatible with the traditionally assumed center-surround RF organization. A non-concentric version of the DoG function, in which the RFs have a circular center and a crescent-shaped surround, performed nearly as well as the Gabor model thus reconciling results from previous reports. For comparison, we also measured the RFs of simple cells. We found that the superiority of the Gabor fits over DoG fits was slightly more decisive for simple cells than for DO cells. The implications of these results on biological image processing and visual perception are discussed.

中文翻译：

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猕猴V1双对手细胞的空间感受野结构

颜色的空间处理对于视觉感知很重要。双对手 (DO) 细胞可能通过它们的空间对手和锥对手感受野 (RF) 促成这种处理。然而，DO 细胞在灵长类动物初级视觉皮层中对视觉特征的表示尚不清楚，因为它们的 RF 的空间结构尚未完全表征。为了填补这一空白，我们用彩色动态白噪声模式绘制了清醒猕猴中 DO 细胞的 RF。每个神经元的空间 RF 都装有一个 Gabor 函数和三个版本的高斯差 (DoG) 函数。Gabor 函数为大多数 DO 单元提供了更准确的描述，这一结果与传统假设的中心环绕 RF 组织不兼容。DoG 函数的非同心版本，其中 RF 具有圆形中心和新月形环绕，其性能几乎与 Gabor 模型一样好，因此与先前报告的结果相一致。为了比较，我们还测量了简单细胞的 RF。我们发现 Gabor 拟合优于 DoG 拟合对于简单细胞比 DO 细胞更具决定性。讨论了这些结果对生物图像处理和视觉感知的影响。