Abstract
The comparison of observed brain activity with the statistics generated by artificial intelligence systems is useful to probe brain functional organization under ecological conditions. Here we study fMRI activity in ten subjects watching color natural movies and compute deep representations of these movies with an architecture that relies on optical flow and image content. The association of activity in visual areas with the different layers of the deep architecture displays complexity-related contrasts across visual areas and reveals a striking foveal/peripheral dichotomy.
Abstract (translated)
观察到的大脑活动与人工智能系统生成的统计数据的比较对于探索生态条件下的脑功能组织是有用的。在这里，我们研究10个受试者观看彩色自然电影的fMRI活动，并使用依赖于光流和图像内容的架构计算这些电影的深度表示。视觉区域中的活动与深层建筑的不同层的关联显示了视觉区域中与复杂性相关的对比，并揭示了惊人的中央凹/外围二分法。
URL
https://arxiv.org/abs/1809.02440
