三阶边缘统计：轮廓延续、曲率和皮质连接
Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
摘要：
关联场模型试图解释人类轮廓分组的表现，并解释在V1皮层列的长距离水平连接的平均频率。然而，关联场仅依赖于自然场景中边缘的成对统计。我们开发了一个谱检验的充分性的成对统计量，并显示有显着的高阶结构。使用概率谱嵌入的分析揭示了曲率依赖的组件。
英文摘要：
Association field models have attempted to explain human contour grouping performance, and to explain the mean frequency of long-range horizontal connections across cortical columns in V1. However, association fields only depend on the pairwise statistics of edges in natural scenes. We develop a spectral test of the sufficiency of pairwise statistics and show there is significant higher order structure. An analysis using a probabilistic spectral embedding reveals curvature-dependent components.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
