Visual object recognition in humans and nonhuman primates is achieved by the ventral visual pathway (ventral occipital-temporal cortex, VOTC), which shows a well-documented object domain structure. An on-going question is what type of information is processed in the higher-order VOTC that underlies such observations, with recent evidence suggesting effects of certain visual features. Combining computational vision models, fMRI experiment using a parametric-modulation approach, and natural image statistics of common objects, we depicted the neural distribution of a comprehensive set of visual features in the VOTC, identifying voxel sensitivities with specific feature sets across geometry/shape, Fourier power, and color. The visual feature combination pattern in the VOTC is significantly explained by their relationships to different types of response-action computation (fight-or-flight, navigation, and manipulation), as derived from behavioral ratings and natural image statistics. These results offer a comprehensive visual feature map in the VOTC and a plausible theoretical explanation as a mapping onto different types of downstream response-action systems.

人类和非人类灵长类动物的视觉对象识别是通过腹侧视觉通路（腹侧枕颞皮质，VOTC）实现的，它显示了一个有据可查的对象域结构。一个持续存在的问题是，在作为此类观察基础的高阶 VOTC 中处理了哪种类型的信息，最近的证据表明某些视觉特征的影响。结合计算视觉模型、使用参数调制方法的 fMRI 实验和常见物体的自然图像统计，我们描绘了 VOTC 中一组综合视觉特征的神经分布，识别具有跨几何/形状的特定特征集的体素敏感性，傅立叶功率和颜色。VOTC 中的视觉特征组合模式通过它们与不同类型的响应-动作计算（战斗或逃跑、导航和操纵）的关系得到了显着解释，这些计算源自行为评级和自然图像统计。这些结果在 VOTC 中提供了一个全面的视觉特征图，并提供了一个合理的理论解释，作为映射到不同类型的下游响应动作系统。