Purpura K P, Victor J D, Katz E
Department of Neurology and Neuroscience, Cornell University Medical College, New York, NY 10021.
Proc Natl Acad Sci U S A. 1994 Aug 30;91(18):8482-6. doi: 10.1073/pnas.91.18.8482.
Spatial correlations define the statistical structure of any visual image. Two-point correlations inform the visual system about the spatial frequency content of an image. Higher-order correlations can capture salient features such as object contours. We studied "isodipole" texture discrimination in V1 to determine if higher-order spatial correlations can be extracted by early stages of cortical processing. We made epicortical, local field potential, and single-cell recordings of responses elicited by isodipole texture interchange in anesthetized monkeys. Our studies demonstrate that single neurons in V1 can signal the presence of higher-order spatial correlations in visual textures. This places a computational mechanism, which may be essential for form vision at the earliest stage of cortical processing.
空间相关性定义了任何视觉图像的统计结构。两点相关性向视觉系统传递有关图像空间频率内容的信息。高阶相关性能够捕捉诸如物体轮廓等显著特征。我们研究了初级视皮层(V1)中的“等偶极子”纹理辨别,以确定高阶空间相关性是否能在皮层处理的早期阶段被提取。我们在麻醉的猴子身上进行了皮层表面、局部场电位以及单细胞记录,记录等偶极子纹理互换所引发的反应。我们的研究表明,V1中的单个神经元能够发出视觉纹理中高阶空间相关性存在的信号。这提出了一种计算机制,它可能是皮层处理最早阶段形状视觉的关键。