这图显示了语义空间投射到大脑皮层表面SN,啊,詹。(A, C, E)类别每个皮层体素模型权重投射到电脑2 - 4组的语义空间,然后分配一个颜色。这些颜色分别投射到大脑皮层平面地图构造为每个主题。这些地图上每个位置代表一个单一的体素。位置与颜色有相似的语义选择。大脑区域标识使用功能本地化人员中概述白色和标签(有关详细信息,请参阅表S1)。不确定解剖边界显示为虚线的白线。大沟用深蓝色的线条和标记。一些解剖区域标记在浅蓝色(缩写:PrCu =楔前叶;部的颞顶联合区的=交界处)。 Cuts made to the cortical surface during flattening are indicated by dashed red lines and a red border. Blue borders show the edge of the corpus callosum and subcortical structures. Regions of fMRI signal dropout are shaded with black hatched lines. (B,D,F) Projection of voxel model weights onto the first PC. Voxels that are positively correlated with the first PC appear red, while negatively correlated voxels appear blue. Voxels orthogonal to the first PC appear gray. Credit: Huth et al.,神经元
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(A)系数的1705年第一批电脑类别,根据WordNet的图形结构组织。链接显示“是”的关系(例如,一名运动员是一个人);一些关系中使用的模型被忽略了。每个标记都代表一个名词(圆)或动词(广场)。红色标记表示正系数和蓝色代表负相关系数。每一个标记的面积表示系数的大小。这电脑区分类别高刺激能源(例如,移动的物体像“人”和“车辆”)和低刺激能量(如静止的对象如“天空”和“城市”)。(B)用于可视化的三维RGB colormap电脑24。类别系数在第二个人电脑红色通道的值决定,第三个人电脑确定了绿色通道,和第四个人电脑确定蓝色通道。在这个方案下,类别代表同样在大脑中被分配相同的颜色。 Categories with zero coefficients appear neutral gray. (C) Coefficients of all 1,705 categories in group PCs 24, organized according to the WordNet graph. The color of each marker is determined by the RGB colormap in (B). Marker sizes reflect the magnitude of the three-dimensional coefficient vector for each category. This graph shows that categories thought to be semantically related (e.g., "athletes" and "walking") are represented similarly in the brain. Credit: Huth et al.,神经元
